The unit cell of the title compound, [Ni(C16H10ClN6)2]·2CH3OH, consists of a neutral complex and two methanol mol­ecules. In the complex, the two tridentate 2-(3-(4-chloro­phen­yl)-1H-1,2,4-triazol-5-yl)-6-(1H-pyrazol-1-yl)pyridine ligands coordinate to the central NiII ion through the N atoms of the pyrazole, pyridine and triazole groups, forming a pseudo­octa­hedral coordination sphere. Neighbouring tapered mol­ecules are linked through weak C—H(pz)⋯π(ph) inter­actions into monoperiodic chains, which are further linked through weak C—H⋯N/C inter­actions into diperiodic layers. The inter­molecular contacts were qu­anti­fied using Hirshfeld surface analysis and two-dimensional fingerprint plots, revealing the relative contributions of the contacts to the crystal packing to be H⋯H 32.8%, C⋯H/H⋯C 27.5%, N⋯H/H⋯N 15.1%, and Cl⋯H/H⋯Cl 14.0%. The average Ni—N bond distance is 2.095 Å. Energy framework analysis at the HF/3–21 G theory level was performed to qu­antify the inter­action energies in the crystal structure.

A new uranium metal–organic complex salt, [U(C10H9O2)2O2(C2H6O)], with benzoyl acetone, namely, bis­(benzoyl­acetonato)(ethanol)dioxidouranium(VI), was synthesized. The compound has monoclinic P21/n symmetry. The geometry of the seven-coordinate U atom is penta­gonal bipyramidal, with the uranyl oxygen atoms in apical positions. In the complex, the ligands bind to the metal through oxygen atoms. Additional weak O—H⋯O contacts between the cations and anions consolidate the three-dimensional arrangement of the structure. On the Hirshfeld surface, the largest contributions come from the short contacts such as van der Waals forces, including H⋯H, O⋯H and C⋯H. Inter­actions including C⋯C and O⋯C contacts were also observed; however, their contribution to the overall cohesion of the crystal structure is minor. A packing analysis was performed to check the strength of the crystal packing.

In the title compound, (C5H7N2)5[TeV9O28], the tellurium and vanadium atoms are statistically disordered over two of the ten metal-atom sites in the [TeV9O28]5– heteropolyanion. The anions stack along [100] and are extended into a three-dimensional supra­molecular network through N—H⋯O and weak C—H⋯O hydrogen bonds involving the self-assembled 2-amino­pyridinium penta­mers, which are linked by C—H⋯π and π–π stacking inter­actions. The most important contributions to the Hirshfeld surface arise from O⋯H/H⋯O (54.8%), H⋯H (17.8%) and C⋯H/H⋯C (13.4%) contacts.

Through numerical optimization of cooling lengths and cooling groove positions for the first reflection mirror of a free-electron laser [OK?], the root mean square of the height error of the mirror's thermal deformation was minimized. The optimized mirror design effectively mitigated stray light and enhanced the peak intensity of the focus spot at the sample, thereby enhancing the optical performance of the high-heat-load mirror under high repetition rates at beamline FEL-II of the SHINE facility.

This study characterizes the microstructure and mineralogy of 132 (ODP sample), 1000 and 1880 million-year-old chert samples. By using ultra-small-angle X-ray scattering (USAXS), wide-angle X-ray scattering and other techniques, the preservation of organic matter (OM) in these samples is studied. The scarce microstructural data reported on chert contrast with many studies addressing porosity evolution in other sedimentary rocks. The aim of this work is to solve the distribution of OM and silica in chert by characterizing samples before and after combustion to pinpoint the OM distribution inside the porous silica matrix. The samples are predominantly composed of alpha quartz and show increasing crystallite sizes up to 33 ± 5 nm (1σ standard deviation or SD). In older samples, low water abundances (∼0.03%) suggest progressive dehydration. (U)SAXS data reveal a porous matrix that evolves over geological time, including, from younger to older samples, (1) a decreasing pore volume down to 1%, (2) greater pore sizes hosting OM, (3) decreasing specific surface area values from younger (9.3 ± 0.1 m2 g−1) to older samples (0.63 ± 0.07 m2 g−1, 1σ SD) and (4) a lower background intensity correlated to decreasing hydrogen abundances. The pore-volume distributions (PVDs) show that pores ranging from 4 to 100 nm accumulate the greater volume fraction of OM. Raman data show aromatic organic clusters up to 20 nm in older samples. Raman and PVD data suggest that OM is located mostly in mesopores. Observed structural changes, silica–OM interactions and the hydro­phobicity of the OM could explain the OM preservation in chert.

Time-resolved high-energy X-ray diffraction was used during growth of ultrathin NixFe3−xO4 films with varying Ni content (0 ≤ x ≤ 1.5) deposited on MgO(001) substrates by reactive molecular beam epitaxy, providing an insight into the growth dynamics of these films. In order to obtain structural information, reciprocal-space maps were recorded and the temporal evolution of the Bragg peaks specific to the octahedral and tetrahedral lattice sites of the inverse spinel structure of NixFe3−xO4 was observed during growth of the films. A time delay, corresponding to a coverage of 1.2–1.8 nm, between the appearance of the Bragg reflections originating from octahedral sites and reflections originating exclusively from tetrahedral sites indicates that the ferrite films grow in two stages. In the initial growth phase, a rock salt interface layer is formed. Afterwards, a structural transition occurs and the films grow in an inverse spinel structure. The thickness of the initial rock salt phase was found to increase with Ni content and to be responsible for atypical strain in the thin films. Films with Ni contents x > 1 do not show a structural transition. These films remain in a (deficient) rock salt structure consisting of a mixed Ni–Fe oxide and do not form a spinel structure at all. They show an increased number of NiO clusters as detected by X-ray photoelectron spectroscopy of the valence band, accompanied by a significant roughening of the films.

Recently, we introduced the liquid application method for time-resolved analyses (LAMA). The time-consuming cleaning cycles required for the substrate solution exchange and storage of the sensitive droplet-dispenser nozzles present practical challenges. In this work, a dispenser cleaning system for the semi-automated cleaning of the piezo-actuator-driven picolitre-droplet dispensers required for LAMA is introduced to streamline typical workflows.

Characterization of a material structure with pair distribution function (PDF) analysis typically involves refining a structure model against an experimental data set, but finding or constructing a suitable atomic model for PDF modelling can be an extremely labour-intensive task, requiring carefully browsing through large numbers of possible models. Presented here is POMFinder, a machine learning (ML) classifier that rapidly screens a database of structures, here polyoxometallate (POM) clusters, to identify candidate structures for PDF data modelling. The approach is shown to identify suitable POMs from experimental data, including in situ data collected with fast acquisition times. This automated approach has significant potential for identifying suitable models for structure refinement to extract quantitative structural parameters in materials chemistry research. POMFinder is open source and user friendly, making it accessible to those without prior ML knowledge. It is also demonstrated that POMFinder offers a promising modelling framework for combined modelling of multiple scattering techniques.

X-ray absorption spectroscopy (XAS) is a promising technique for determining structural information from sensitive biological samples, but high-accuracy X-ray absorption fine structure (XAFS) requires corrections of systematic errors in experimental data. Low-temperature XAS and room-temperature X-ray absorption spectro-electrochemical (XAS-EC) measurements of N-truncated amyloid-β samples were collected and corrected for systematic effects such as dead time, detector efficiencies, monochromator glitches, self-absorption, radiation damage and noise at higher wavenumber (k). A new protocol was developed using extended X-ray absorption fine structure (EXAFS) data analysis for monitoring radiation damage in real time and post-analysis. The reliability of the structural determinations and consistency were validated using the XAS measurement experimental uncertainty. The correction of detector pixel efficiencies improved the fitting χ2 by 12%. An improvement of about 2.5% of the structural fitting was obtained after dead-time corrections. Normalization allowed the elimination of 90% of the monochromator glitches. The remaining glitches were manually removed. The dispersion of spectra due to self-absorption was corrected. Standard errors of experimental measurements were propagated from pointwise variance of the spectra after systematic corrections. Calculated uncertainties were used in structural refinements for obtaining precise and reliable values of structural parameters including atomic bond lengths and thermal parameters. This has permitted hypothesis testing.

Data collection at X-ray free electron lasers has particular experimental challenges, such as continuous sample delivery or the use of novel ultrafast high-dynamic-range gain-switching X-ray detectors. This can result in a multitude of data artefacts, which can be detrimental to accurately determining structure-factor amplitudes for serial crystallography or single-particle imaging experiments. Here, a new data-classification tool is reported that offers a variety of machine-learning algorithms to sort data trained either on manual data sorting by the user or by profile fitting the intensity distribution on the detector based on the experiment. This is integrated into an easy-to-use graphical user interface, specifically designed to support the detectors, file formats and software available at most X-ray free electron laser facilities. The highly modular design makes the tool easily expandable to comply with other X-ray sources and detectors, and the supervised learning approach enables even the novice user to sort data containing unwanted artefacts or perform routine data-analysis tasks such as hit finding during an experiment, without needing to write code.

The growing pressure on school curricula has meant crystals and the science of crystallography have been cut from or made optional for many educational programs. This omission is a serious disservice to the history and understanding of modern sciences, given that crystallography underpins many of the greatest advancements in science over the past century, is a critical component of many modern research papers and patents, and has 29 Nobel Prizes awarded in the field. This contribution describes a simple activity to target classroom and public engagement with crystallography, using marshmallows or equivalent sweets/candy to represent atoms and cocktail sticks to represent bonds, together with examples of how crystals are studied and how they are useful. Though it has a simple basis, this activity can be extended in numerous ways to reflect the aims of the demonstrator, and a few of these are described.

A systematic procedure is introduced for modeling charge-neutral non-polar surfaces of ionic minerals containing polyatomic anions. By integrating distance- and charge-based clustering to identify chemical species within the mineral bulk, our pipeline, PolyCleaver, renders a variety of theoretically viable surface terminations. As a demonstrative example, this approach was applied to forsterite (Mg2SiO4), unveiling a rich interface landscape based on interactions with formaldehyde, a relevant multifaceted molecule, and more particularly in prebiotic chemistry. This high-throughput method, going beyond techniques traditionally applied in the modeling of minerals, offers new insights into the potential catalytic properties of diverse surfaces, enabling a broader exploration of synthetic pathways in complex mineral systems.

DLSIA (Deep Learning for Scientific Image Analysis) is a Python-based machine learning library that empowers scientists and researchers across diverse scientific domains with a range of customizable convolutional neural network (CNN) architectures for a wide variety of tasks in image analysis to be used in downstream data processing. DLSIA features easy-to-use architectures, such as autoencoders, tunable U-Nets and parameter-lean mixed-scale dense networks (MSDNets). Additionally, this article introduces sparse mixed-scale networks (SMSNets), generated using random graphs, sparse connections and dilated convolutions connecting different length scales. For verification, several DLSIA-instantiated networks and training scripts are employed in multiple applications, including inpainting for X-ray scattering data using U-Nets and MSDNets, segmenting 3D fibers in X-ray tomographic reconstructions of concrete using an ensemble of SMSNets, and leveraging autoencoder latent spaces for data compression and clustering. As experimental data continue to grow in scale and complexity, DLSIA provides accessible CNN construction and abstracts CNN complexities, allowing scientists to tailor their machine learning approaches, accelerate discoveries, foster interdisciplinary collaboration and advance research in scientific image analysis.

Serial crystallography experiments at synchrotron and X-ray free-electron laser (XFEL) sources are producing crystallographic data sets of ever-increasing volume. While these experiments have large data sets and high-frame-rate detectors (around 3520 frames per second), only a small percentage of the data are useful for downstream analysis. Thus, an efficient and real-time data classification pipeline is essential to differentiate reliably between useful and non-useful images, typically known as `hit' and `miss', respectively, and keep only hit images on disk for further analysis such as peak finding and indexing. While feature-point extraction is a key component of modern approaches to image classification, existing approaches require computationally expensive patch preprocessing to handle perspective distortion. This paper proposes a pipeline to categorize the data, consisting of a real-time feature extraction algorithm called modified and parallelized FAST (MP-FAST), an image descriptor and a machine learning classifier. For parallelizing the primary operations of the proposed pipeline, central processing units, graphics processing units and field-programmable gate arrays are implemented and their performances compared. Finally, MP-FAST-based image classification is evaluated using a multi-layer perceptron on various data sets, including both synthetic and experimental data. This approach demonstrates superior performance compared with other feature extractors and classifiers.

Three-dimensional cryo electron microscopy reconstructions are obtained by extracting information from a large number of projections of the object. These projections correspond to different `views' or `orientations', i.e. directions in which these projections show the reconstructed object. Uneven distribution of these views and the presence of dominating preferred orientations may distort the reconstructed spatial images. This work describes the program VUE (views on uniform grids for cryo electron microscopy), designed to study such distributions. Its algorithms, based on uniform virtual grids on a sphere, allow an easy calculation and accurate quantitative analysis of the frequency distribution of the views. The key computational element is the Lambert azimuthal equal-area projection of a spherical uniform grid onto a disc. This projection keeps the surface area constant and represents the frequency distribution with no visual bias. Since it has multiple tunable parameters, the program is easily adaptable to individual needs, and to the features of a particular project or of the figure to be produced. It can help identify problems related to an uneven distribution of views. Optionally, it can modify the list of projections, distributing the views more uniformly. The program can also be used as a teaching tool.

Macromolecular crystallography contributes significantly to understanding diseases and, more importantly, how to treat them by providing atomic resolution 3D structures of proteins. This is achieved by collecting X-ray diffraction images of protein crystals from important biological pathways. Spotfinders are used to detect the presence of crystals with usable data, and the spots from such crystals are the primary data used to solve the relevant structures. Having fast and accurate spot finding is essential, but recent advances in synchrotron beamlines used to generate X-ray diffraction images have brought us to the limits of what the best existing spotfinders can do. This bottleneck must be removed so spotfinder software can keep pace with the X-ray beamline hardware improvements and be able to see the weak or diffuse spots required to solve the most challenging problems encountered when working with diffraction images. In this paper, we first present Bragg Spot Detection (BSD), a large benchmark Bragg spot image dataset that contains 304 images with more than 66 000 spots. We then discuss the open source extensible U-Net-based spotfinder Bragg Spot Finder (BSF), with image pre-processing, a U-Net segmentation backbone, and post-processing that includes artifact removal and watershed segmentation. Finally, we perform experiments on the BSD benchmark and obtain results that are (in terms of accuracy) comparable to or better than those obtained with two popular spotfinder software packages (Dozor and DIALS), demonstrating that this is an appropriate framework to support future extensions and improvements.

A deep-learning algorithm is proposed for the inpainting of Bragg coherent diffraction imaging (BCDI) patterns affected by detector gaps. These regions of missing intensity can compromise the accuracy of reconstruction algorithms, inducing artefacts in the final result. It is thus desirable to restore the intensity in these regions in order to ensure more reliable reconstructions. The key aspect of the method lies in the choice of training the neural network with cropped sections of diffraction data and subsequently patching the predictions generated by the model along the gap, thus completing the full diffraction peak. This approach enables access to a greater amount of experimental data for training and offers the ability to average overlapping sections during patching. As a result, it produces robust and dependable predictions for experimental data arrays of any size. It is shown that the method is able to remove gap-induced artefacts on the reconstructed objects for both simulated and experimental data, which becomes essential in the case of high-resolution BCDI experiments.

Using the well known Rn ratio method, a protocol has been elaborated for determining the lattice direction for the 15 most common cubic zone axis spot patterns. The method makes use of the lengths of the three shortest reciprocal-lattice vectors in each pattern and the angles between them. No prior pattern calibration is required for the method to work, as the Rn ratio method is based entirely on geometric relationships. In the first step the pattern is assigned to one of three possible pattern types according to the angles that are measured between the three reciprocal-lattice vectors. The lattice direction [uvw] and possible Bravais type(s) and Laue indices of the corresponding reflections can then be determined by using lookup tables. In addition to determining the lattice direction, this simple geometric analysis allows one to distinguish between the P, I and F Bravais lattices for spot patterns aligned along [013], [112], [114] and [233]. Moreover, the F lattice can always be uniquely identified from the [011] and [123] patterns.

For a reliable characterization of materials and systems featuring multiple structural levels, a broad length scale from a few ångström to hundreds of nanometres must be analyzed and an extended Q range must be covered in X-ray and neutron scattering experiments. For certain samples or effects, it is advantageous to perform such characterization with a single instrument. Neutrons offer the unique advantage of contrast variation and matching by D-labeling, which is of great value in the characterization of natural or synthetic polymers. Some time-of-flight small-angle neutron scattering (TOF-SANS) instruments at neutron spallation sources can cover an extended Q range by using a broad wavelength band and a multitude of detectors. The detectors are arranged to cover a wide range of scattering angles with a resolution that allows both large-scale morphology and crystalline structure to be resolved simultaneously. However, for such analyses, the SANS instruments at steady-state sources operating in conventional monochromatic pinhole mode rely on additional wide-angle neutron scattering (WANS) detectors. The resolution must be tuned via a system of choppers and a TOF data acquisition option to reliably measure the atomic to mesoscale structures. The KWS-2 SANS diffractometer at Jülich Centre for Neutron Science allows the exploration of a wide Q range using conventional pinhole and lens focusing modes and an adjustable resolution Δλ/λ between 2 and 20%. This is achieved through the use of a versatile mechanical velocity selector combined with a variable slit opening and rotation frequency chopper. The installation of WANS detectors planned on the instrument required a detailed analysis of the quality of the data measured over a wide angular range with variable resolution. This article presents an assessment of the WANS performance by comparison with a McStas [Willendrup, Farhi & Lefmann (2004). Physica B, 350, E735–E737] simulation of ideal experimental conditions at the instrument.

High-energy X-ray diffraction methods can non-destructively map the 3D microstructure and associated attributes of metallic polycrystalline engineering materials in their bulk form. These methods are often combined with external stimuli such as thermo-mechanical loading to take snapshots of the evolving microstructure and attributes over time. However, the extreme data volumes and the high costs of traditional data acquisition and reduction approaches pose a barrier to quickly extracting actionable insights and improving the temporal resolution of these snapshots. This article presents a fully automated technique capable of rapidly detecting the onset of plasticity in high-energy X-ray microscopy data. The technique is computationally faster by at least 50 times than the traditional approaches and works for data sets that are up to nine times sparser than a full data set. This new technique leverages self-supervised image representation learning and clustering to transform massive data sets into compact, semantic-rich representations of visually salient characteristics (e.g. peak shapes). These characteristics can rapidly indicate anomalous events, such as changes in diffraction peak shapes. It is anticipated that this technique will provide just-in-time actionable information to drive smarter experiments that effectively deploy multi-modal X-ray diffraction methods spanning many decades of length scales.

This article demonstrates the feasibility of obtaining accurate pair distribution functions of thin amorphous films down to 80 nm, using modern laboratory-based X-ray sources. The pair distribution functions are obtained using a single diffraction scan without the requirement of additional scans of the substrate or of the air. By using a crystalline substrate combined with an oblique scattering geometry, most of the Bragg scattering of the substrate is avoided, rendering the substrate Compton scattering the primary contribution. By utilizing a discriminating energy filter, available in the latest generation of modern detectors, it is demonstrated that the Compton intensity can further be reduced to negligible levels at higher wavevector values. Scattering from the sample holder and the air is minimized by the systematic selection of pixels in the detector image based on the projected detection footprint of the sample and the use of a 3D-printed sample holder. Finally, X-ray optical effects in the absorption factors and the ratios between the Compton intensity of the substrate and film are taken into account by using a theoretical tool that simulates the electric field inside the film and the substrate, which aids in planning both the sample design and the measurement protocol.

Geological formations provide a promising environment for the long-term and short-term storage of gases, including carbon dioxide, hydrogen and hydro­carbons, controlled by the rock-specific small-scale pore structure. This study investigates the nanoscale structure and gas uptake in a highly porous silica aerogel (a synthetic proxy for natural rocks) using transmission electron microscopy, X-ray diffraction, and small-angle and ultra-small-angle neutron scattering with a tracer of deuterated methane (CD4) at pressures up to 1000 bar. The results show that the adsorption of CD4 in the porous silica matrix is scale dependent. The pore space of the silica aerogel is fully accessible to the invading gas, which quickly equilibrates with the external pressure and shows no condensation on the sub-nanometre scale. In the 2.5–50 nm pore size region a classical two-phase adsorption behaviour is observed. The structure of the aerogel returns to its original state after the CD4 pressure has been released.

Ptychography is a powerful computational imaging technique with microscopic imaging capability and adaptability to various specimens. To obtain an imaging result, it requires a phase-retrieval algorithm whose performance directly determines the imaging quality. Recently, deep neural network (DNN)-based phase retrieval has been proposed to improve the imaging quality from the ordinary model-based iterative algorithms. However, the DNN-based methods have some limitations because of the sensitivity to changes in experimental conditions and the difficulty of collecting enough measured specimen images for training the DNN. To overcome these limitations, a ptychographic phase-retrieval algorithm that combines model-based and DNN-based approaches is proposed. This method exploits a DNN-based denoiser to assist an iterative algorithm like ePIE in finding better reconstruction images. This combination of DNN and iterative algorithms allows the measurement model to be explicitly incorporated into the DNN-based approach, improving its robustness to changes in experimental conditions. Furthermore, to circumvent the difficulty of collecting the training data, it is proposed that the DNN-based denoiser be trained without using actual measured specimen images but using a formula-driven supervised approach that systemically generates synthetic images. In experiments using simulation based on a hard X-ray ptychographic measurement system, the imaging capability of the proposed method was evaluated by comparing it with ePIE and rPIE. These results demonstrated that the proposed method was able to reconstruct higher-spatial-resolution images with half the number of iterations required by ePIE and rPIE, even for data with low illumination intensity. Also, the proposed method was shown to be robust to its hyperparameters. In addition, the proposed method was applied to ptychographic datasets of a Simens star chart and ink toner particles measured at SPring-8 BL24XU, which confirmed that it can successfully reconstruct images from measurement scans with a lower overlap ratio of the illumination regions than is required by ePIE and rPIE.

Metal–organic frameworks (MOFs) have garnered significant attention in recent years owing to their exceptional properties. Understanding the intricate relationship between the structure of a material and its properties is crucial for guiding the synthesis and application of these materials. (Scanning) Transmission electron microscopy (S)TEM imaging stands out as a powerful tool for structural characterization at the nanoscale, capable of detailing both periodic and aperiodic local structures. However, the high electron-beam sensitivity of MOFs presents substantial challenges in their structural characterization using (S)TEM. This paper summarizes the latest advancements in low-dose high-resolution (S)TEM imaging technology and its application in MOF material characterization. It covers aspects such as framework structure, defects, and surface and interface analysis, along with the distribution of guest molecules within MOFs. This review also discusses emerging technologies like electron ptychography and outlines several prospective research directions in this field.

Here, it is investigated how optical properties of single scatterers in interacting multi-particle systems influence measurable structure factors. Both particles with linear gradients of their scattering length density and core–shell structures evoke characteristic deviations between the weighted sum 〈S(Q)〉 of partial structure factors in a multi-component system and experimentally accessible measurable structure factors SM(Q). While 〈S(Q)〉 contains only the structural information of self-organizing systems, SM(Q) is additionally influenced by the optical properties of their constituents, resulting in features such as changing amplitudes, additional peaks in the low-wavevector region or splitting of higher-order maxima, which are not related to structural reasons. It is shown that these effects can be systematically categorized according to the qualitative behaviour of the form factor in the Guinier region, which enables assessing the suitability of experimentally obtained structure factors to genuinely represent the microstructure of complex systems free from any particular model assumption. Hence, a careful data analysis regarding size distribution and optical properties of single scatterers is mandatory to avoid a misinterpretation of measurable structure factors.

The two most abundant CaCO3 polymorphs, calcite and aragonite, are universally recognized for the richness of their morphology to which different twins make relevant contributions. The epitaxial transformation calcite ↔ aragonite has long been debated. While the twinning has been thoroughly treated, the homo-epitaxy occurring within each of these minerals has, inexplicably, been overlooked to date, both experimentally and theoretically. Twinning can be deceptive to the point where it can be mistaken for homo-epitaxy, thus making the proposed growth mechanism in the crystal aggregate wrong. Within the present work, the first aim is a theoretical investigation of the homo-epitaxies among the three {10.4}-cleavage, {01.2}-steep and {01.8}-flat rhombohedra of calcite. Accordingly, the specific adhesion energies were calculated between facing crystal forms, unequivocally showing that the {01.2}/{01.8} homo-epitaxy competes with the generation of both {01.2} and {01.8} contact twins. Secondly, the calculation of the specific adhesion energy was extended to consider homo-epitaxy for the {10.4} rhombohedron. The two-dimensional geometric lattice coincidence has been tried for the {00.1} pinacoidal form as well.

Slow-cooled CF8M duplex stainless steel is used for critical parts of the primary coolant pipes of nuclear reactors. This steel can endure severe service conditions, but it tends to become more brittle upon very long-term aging (tens of years). Therefore, it is essential to understand its specific microstructure and temporal evolution. As revealed by electron backscatter diffraction (EBSD) analyses, the microstructure consists of millimetre-scale ferritic grains within which austenite lath packets have grown with preferred crystallographic orientations concerning the parent ferritic phase far from the ferrite grain boundaries. In these lath packets where the austenite phase is nucleated, the lath morphology and crystal orientation accommodate the two ferrite orientations. Globally, the Pitsch orientation relationship appears to display the best agreement with the experimental data compared with other classical relationships. The austenite lath packets are parallel plate-shaped laths, characterized by their normal n. A novel methodology is introduced to elucidate the expected relationship between n and the crystallographic orientation given the coarse interfaces, even though n is only partly known from the observation surface, in contrast to the 3D crystal orientations measured by EBSD. The distribution of retrieved normals n is shown to be concentrated over a set of discrete orientations. Assuming that the ferrite and austenite obey the Pitsch orientation relationship, the determined lath normals are close to an invariant direction of the parent phase given by the same orientation relationship.

A neutron time-of-flight (TOF) powder diffractometer with a continuous wide-angle array of detectors can be electronically focused to make a single pseudo-constant wavelength diffraction pattern, thus facilitating angle-dependent intensity corrections. The resulting powder diffraction peak profiles are affected by the neutron source emission profile and resemble the function currently used for TOF diffraction.

Using a 5 µm-diameter X-ray beam, we collected scanning X-ray microdiffraction in both the small-angle (SAXS) and the wide-angle (WAXS) regimes from thin sections of fixed human brain tissue from Alzheimer's subjects. The intensity of scattering in the SAXS regime of these patterns exhibits essentially no correlation with the observed intensity in the WAXS regime, indicating that the structures responsible for these two portions of the diffraction patterns, which reflect different length scales, are distinct. SAXS scattering exhibits a power-law behavior in which the log of intensity decreases linearly with the log of the scattering angle. The slope of the log–log curve is roughly proportional to the intensity in the SAXS regime and, surprisingly, inversely proportional to the intensity in the WAXS regime. We interpret these observations as being due to the presence of sub-micrometre-sized voids formed during dehydration of the fixed tissue. The SAXS intensity is due largely to scattering from these voids, while the WAXS intensity derives from the secondary structures of macromolecular material surrounding the voids. The ability to detect and map the presence of voids within thin sections of fixed tissue has the potential to provide novel information on the degradation of human brain tissue in neurodegenerative diseases.

We describe an ultra-compact setup for in situ X-ray diffraction on the inelastic X-ray scattering beamline ID20 at the European Synchrotron Radiation Facility. The main motivation for the design and construction of this setup is the increasing demand for on-the-fly sample characterization, as well as ease of navigation through a sample's phase diagram, for example subjected to high-pressure and/or high-temperature conditions. We provide technical details and demonstrate the performance of the setup.

Geological samples are inherently multi-scale. Understanding their bulk physical and chemical properties requires characterization down to the nano-scale. A powerful technique to study the three-dimensional microstructure is X-ray tomography, but it lacks information about the chemistry of samples. To develop a methodology for measuring the multi-scale 3D microstructure of geological samples, correlative X-ray micro- and nanotomography were performed on two rocks followed by scanning electron microscopy with energy-dispersive spectroscopy (SEM-EDS) analysis. The study was performed in five steps: (i) micro X-ray tomography was performed on rock sample cores, (ii) samples for nanotomography were prepared using laser milling, (iii) nanotomography was performed on the milled sub-samples, (iv) samples were mounted and polished for SEM analysis and (v) SEM imaging and compositional mapping was performed on micro and nanotomography samples for complimentary information. Correlative study performed on samples of serpentine and basalt revealed multiscale 3D structures involving both solid mineral phases and pore networks. Significant differences in the volume fraction of pores and mineral phases were also observed dependent on the imaging spatial resolution employed. This highlights the necessity for the application of such a multiscale approach for the characterization of complex aggregates such as rocks. Information acquired from the chemical mapping of different phases was also helpful in segmentation of phases that did not exhibit significant contrast in X-ray imaging. Adoption of the protocol used in this study can be broadly applied to 3D imaging studies being performed at the Advanced Light Source and other user facilities.

We present first hard X-ray photoelectron spectroscopy (HAXPES) results of aqueous salt solutions and dispersions of gold nanoparticles in liquid cells equipped with specially designed microfabricated thin silicon nitride membranes, with thickness in the 15–25 nm range, mounted in a high-vacuum-compatible environment. The experiments have been performed at the HAXPES endstation of the GALAXIES beamline at the SOLEIL synchrotron radiation facility. The low-stress membranes are fabricated from 100 mm silicon wafers using standard lithography techniques. Platinum alignment marks are added to the chips hosting the membranes to facilitate the positioning of the X-ray beam on the membrane by detecting the corresponding photoemission lines. Two types of liquid cells have been used, a static one built on an Omicron-type sample holder with the liquid confined in the cell container, and a circulating liquid cell, in which the liquid can flow in order to mitigate the effects due to beam damage. We demonstrate that the membranes are mechanically robust and able to withstand 1 bar pressure difference between the liquid inside the cell and vacuum, and the intense synchrotron radiation beam during data acquisition. This opens up new opportunities for spectroscopic studies of liquids.

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Source: Streetwise Reports 11/06/2024

Terawulf Inc. (WULF:NASDAQ) has reported its October 2024 production and operations. The report included significant advancements in self-mining with an operational capacity reaching 8.1 exahash per second (EH/s). This marks a 62% increase from the prior year. The company mined a total of 150 bitcoins during the month, averaging approximately 4.8 bitcoins per day, at a power cost of US$36,789 per bitcoin mined or about US$0.048 per kWh (kilowatt-hour). To improve efficiency, TeraWulf continued its miner refresh program at its Lake Mariner facility, replacing older models with upgraded S19 XP miners following its sale of interest in the Nautilus Cryptomine facility, which enabled additional hardware acquisitions.

Focusing on high-performance computing (HPC) infrastructure, TeraWulf's aim is to establish 72.5 MW HPC hosting capacity at Lake Mariner by Q2 2025. October's operational hash rate averaged 6.8 EH/s, with adjustments made for demand response events and performance optimization measures to enhance profitability. Construction on the company's 20 MW HPC hosting facility, CB-1, remains on schedule for Q1 2025, and a larger 50 MW HPC facility, CB-2, is expected by Q2 2025. The recent sale of TeraWulf's equity interest in Nautilus and new financing through convertible notes are anticipated to support these growth initiatives.

Sean Farrell, Senior Vice President of Operations at TeraWulf, explained in the press release, "October marked another productive month, with TeraWulf mining 150 bitcoin and sustaining an average daily production of around 5 bitcoin . . . In line with our previously outlined plans, we are accelerating the transition to more efficient mining hardware by replacing older miners at Lake Mariner with S19 XP models. We are also working closely with Bitmain's warranty department on a recovery plan to repair and replace 1.5 EH of mining equipment with a target completion by the end of the year. Furthermore, we have established a dedicated Business Development and Performance Optimization team focused on integrating advanced IT and software solutions to improve our operational hash rate and overall efficiency. Building 5, which has been designed to handle higher heat exhaust of the latest generation miners, remains on track to be operational in Q1 2025."

Why Crypto Mining?

The cryptocurrency mining sector has seen recent momentum, bolstered by the U.S. election results and the evolving landscape for Bitcoin. As Benzinga reported on November 6, bitcoin mining stocks experienced notable gains following the U.S. presidential election, which led to Bitcoin reaching record highs. The outcome was anticipated to benefit U.S.-focused mining companies as pro-crypto policies, including a preference for domestic bitcoin production, gained prominence. Benzinga noted that Trump had previously expressed support for more bitcoin mining within the U.S., a stance that influenced broader market optimism in the days following his election.

On November 4, Yahoo! Finance highlighted the growing trend among Bitcoin miners to integrate artificial intelligence (AI) to power a "new industrial revolution." As described by Rob Nelson, who emphasized the impact of cryptocurrency mining as a vehicle for both economic and technological change. This trend has driven miners to secure deals within the AI sector, given the synergies in computational power required for both cryptocurrency and AI initiatives. Nelson projected that this cross-industry expansion could have far-reaching effects, creating value for both miners and AI-focused enterprises.

Additionally, a November 6 report from Time explored the significance of the recent Presidential election outcome for the crypto industry's future regulatory environment. According to Time, Trump's support for the industry included ambitions to boost the country's bitcoin mining footprint, which aligned with crypto PACs' efforts to secure pro-crypto candidates. The article reported that these advocacy groups saw the election as an opportunity to reshape crypto regulation and encourage growth in U.S.-based bitcoin mining.

TeraWulf's Catalysts

TeraWulf's recent initiatives set a foundation for further growth and operational efficiency. According to the company's investor presentation, the sale of its 25% equity interest in the Nautilus facility enhances liquidity. This enables TeraWulf to reinvest in its flagship Lake Mariner site for both HPC and AI expansion.

The transaction also reduces exposure to the expiring Nautilus 2¢ power contract by 2027, positioning the company to benefit from projected power price increases at Lake Mariner. This strategic realignment is anticipated to improve fleet efficiency, with an upgraded mining fleet targeting 13 EH/s by Q1 2025, supported by the deployment of next-gen S21 Pro miners.

What Experts Are Saying...

On November 5, 2024, Roth MKM analyst Darren Aftahi assigned TeraWulf a "Buy" rating and set a price target of US$7.50. Roth highlighted optimism around the company's expansion and potential in high-performance computing (HPC) and bitcoin mining. Roth noted that TeraWulf's planned 72.5 MW of HPC capacity by Q2 2025 could generate annualized revenue of approximately US$90 million, with over US$60 million in profit. [OWNERSHIP_CHART-11184]

The report highlighted the completion of TeraWulf's initial 2.5 MW HPC project and its upcoming 20 MW facility, which remains on track for Q1 2025. Roth analysts pointed to the operational progress at TeraWulf's Lake Mariner facility, emphasizing the company's improvements in mining efficiency with new S19 XP models, which brought its machine efficiency to 22 J/TH.

Ownership and Share Structure

According to Refinitiv, management and insiders hold 6.67% of TeraWulf. Of them, Co-founder, COO, and CTO Nazar M. Khan holds the most, with 4.43%.

Strategic investors hold 21.37%. Of them, Riesling Power LLC holds the most at 5.23%, Baryshore Capital LLC holds 4.77%, Revolve Capital LLC has 4.67%, Opportunity Four of Parabolic Ventures owns 2.46%, and Lake Harriet Holdings LLC has 1.90%.

Institutions have 45.11%. The largest holders there are The Vanguard Group at 6.12%, BlackRock Instituional Trust with 4.22%, Two Sigma Investments LP at 2.28%, Beryl Capital Management LLC holds 1.74%, and Geode Capital Management LLC has 1.66%. The rest is retail.

TeraWulf has a market cap of US$2,375.93 million and 275.29 million free float shares. Their 52-week range is US$ 0.8911 - 7.28.
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Important Disclosures:

1) James Guttman wrote this article for Streetwise Reports LLC and provides services to Streetwise Reports as an employee.

2) This article does not constitute investment advice and is not a solicitation for any investment. Streetwise Reports does not render general or specific investment advice and the information on Streetwise Reports should not be considered a recommendation to buy or sell any security. Each reader is encouraged to consult with his or her personal financial adviser and perform their own comprehensive investment research. By opening this page, each reader accepts and agrees to Streetwise Reports' terms of use and full legal disclaimer. Streetwise Reports does not endorse or recommend the business, products, services or securities of any company.

For additional disclosures, please click here.

( Companies Mentioned: WULF:NASDAQ, )

The lineup from the "Justice League" animated series.; Credit: Warner Bros.

Bruce Timm's DC Comics animated universe, beginning with "Batman: The Animated Series" and continuing with "Superman," "Batman Beyond," "Justice League," "Justice League Unlimited" and more, remains one of the most beloved and critically acclaimed animated runs in existence. The run was so idenified with the producer that it was sometimes called the Timmverse, but the last show in that continuity ended in 2006 and Timm officially stepped down from working with DC animation in 2013.

Now Timm is back. He's providing a darker take than the optimistic world he became known for in "Justice League: Gods and Monsters," a three-part digital series launching spring 2015 that will be tied in with a full-length animated film that comes out later that year, according to a press release.

Timm's also re-teaming with Alan Burnett, who worked with Timm on "Batman: The Animated Series." It's part of DC Comics' efforts to set up their new film "Batman v Superman: Dawn of Justice," which hits in 2016, with the full Justice League film set for 2018.

DC Comics as a whole has been moving in a darker direction with Christopher Nolan's Batman trilogy, the "Man of Steel" reboot of Superman and a more serious direction in many of its comic books. The company has followed in its tradition of epic storytelling, passing on the quips Marvel has popularized in films from "Iron Man" to "Guardians of the Galaxy."

It's yet to be seen if Timm can recapture any of the magic from his classic cartoons, but there's reason to be optimistic for the creator of the series that introduced fan favorite Joker sidekick Harley Quinn, created a new origin for Mr. Freeze that cemented the character in the Batman mythos and led the team reimagining numerous characters in an iconic, broadly appealing way.

If you want to catch up on Timm's legacy, his previous two Justice League series are available on Netflix and Amazon Prime, along with "Batman Beyond," while the Batman and Superman animated series are available on Amazon Prime.

Timm also recently produced a short for the 75th anniversary of Batman called "Strange Days," setting the character in the retro world of the serialized pulp storytelling from the time Batman was originally created. You can watch that below:

Batman anniversary short

Watch the classic opening to "Batman: The Animated Series":

Batman: The Animated Series opening

And, a personal favorite joke from when Lex Luthor and the Flash trade bodies on "Justice League Unlimited":

Flash/Luthor body swap

MPK Night Market. ; Credit: MPK Night Market (via YouTube)

Ahhhhh. Can you feel that breeze? Cool temps are here to stay through Sunday and we're going ham (in a totally respectable, public radio kind of way). Because frankly, we all deserve a break after sweating ourselves through this near-awful workweek. 

Here's everything you need to know: 

1. Pro volleyball at Hermosa Beach

Video: NVL highlights

These people are serious about volleyball — and they look damn good doing it. Take a trip to Hermosa Beach this weekend, where the National Volleyball League will be hosting its fifth tour stop of the season. The championship will feature 32 elite men’s and women’s teams, all competing for a prize of $50,000. Come by at noon Saturday for a free juniors’ clinic (all ages welcome). Sign up here. 

When: Friday through Sunday | Schedule here

Where: Hermosa Beach Pier | MAP

Price: Free

2. #DTLA salsa dancing

Video: Music Center's Dance Downtown

We know you're dying to show off your salsa skills. Join dancers of all levels at the Music Center's last Dance Downtown of the summer on Friday night. Temps are dropping (hallelujah!) so pack a picnic and get movin'.

When: 6:30 to 10 p.m. Friday 

Where: The Music Center Plaza | MAP 

Price: Free

3. Shades and Shadows 

Looking for something a little different and a bit creepy? The reading series Shades and Shadows focuses solely on horror, sci-fi, fantasy and any other form of dark literature that you’re afraid to put down. To honor its one-year anniversary, the group will be haunting the California Institute of Abnormalarts. (Yes, this exists. It's in North Hollywood). Stop by for an all-female lineup, including Nancy Holder of "Buffy the Vampire Slayer" and the Internet's most famous mortician, Caitlin Doughty.  

When: 8 p.m. Saturday

Where: California Institute of Abnormalarts | MAP

Price: $10

4. Oktoberfest at Angel City

It doesn't feel like fall. The sun is blazing and the thought of drinking a pumpkin-spice latte is just gross. That's why we're sipping on cold beer instead. Savor seasonal craft brews with sausage, sauerkraut and soft pretzels at Angel City Brewery's Oktoberfest on Sunday. Festivities will include keg races, live polka music, ping pong and brewery tours. The best part? You're drinking for a good cause — a portion of the event’s beer and retail store sales will go to the Downtown Women’s Center.

When: Noon to 8 p.m. Sunday

Where: Angel City Brewery | MAP

Price: Free admission

5. Monterey Park Night Market 

Video: Every food you ever wanted

Have your pick of tacos, sliders, pressed juice or even a sushi burrito at Monterey Park's Night Market on Friday. That's not all — other highlights include food and dessert from Sticky Rice and Ice Cream Lab. After indulging, walk it off while viewing funky art prints, interesting hand-painted rocks and L.A.-inspired oil pantings. 

When: 5:30 to 10:30 p.m. Friday

Where: Barnes Park | MAP

Price: Free admission; eat at your own will 

6. Friday Night Flicks 

Watch: The best of Johnny Depp

Take a break from Netflix and catch classic Johnny Depp in "Benny and Joon" at Pershing Square on Friday. Pack a picnic, bring a blanket or lawn chair and watch the '90s flick on a 20-foot inflatable screen. Pro tip: Dogs are welcome (if on a leash). For quick easy access to Pershing Square take the Metro (Pershing Square 5th street stop) or park in the Pershing Square Garage.

When: 8 p.m. Friday

Where: Pershing Square | MAP

Price: Free 

7. Kayaking in Malibu

(Photo: Benjamin Brayfield/KPCC)

Spend a leisurely day kayaking the waves of the Pacific. Head to Malibu Surf Shack and grab a one- or two-seater before staking your spot on Malibu Lagoon State Beach. The state park has shallow tide pools and a lagoon with pelicans — plus, it's home to the Malibu Pier. Pro tip: Wear sunscreen and don't drop your phone in the ocean while taking selfies, people.

When: The Surf Shack is open daily 10 a.m. to 6 p.m. 

Where: Malibu Lagoon State Beach | MAP

Price: $35 per day for single kayak; $50 per day for double kayak

8. Feline Film Festival 

Video: We are gonna have a cat party

Imagine watching "America's Funniest Home Videos," but every entry includes a cat. That's what's happening Sunday at the L.A. Feline Film Festival. Sit back and enjoy over an hour of the most popular feline flicks from the Internet. Special guests include Lil Bub, Tara the Hero and Dusty Klepto Kitty. There will also be music, cat adoptions, a cat costume contest, food and drink. Pro tip: Cat flair is obviously encouraged.

When: 1 to 10 p.m. Sunday

Where: Exposition Park | MAP

Price: $15 admission; $15 parking | Purchase tix here

What'd we miss? Let me know on Twitter @KristenLepore.

Source: Streetwise Reports 10/18/2024

Aero Energy Ltd. (AERO:TSXV; AAUGF:OTC; UU3:FRA) has announced significant advancements at its Murmac and Sun Dog uranium projects in Northern Saskatchewan, with the first drill program revealing high-grade uranium potential. Situated near Uranium City on the Athabasca Basin's northern margin, the projects aim to capitalize on basement-hosted uranium deposits similar to high-grade discoveries in the region.

The initial drill campaign completed 16 holes, targeting 12 key areas, with 12 holes yielding anomalous radioactivity. A major highlight is the new high-grade uranium discovery in drill hole M24-017, which intersected 8.4 meters of mineralization at 0.3% U3O8, including assays peaking at 13.8% U3O8 at just 64 meters below surface. The results confirm Aero's exploration model, which focuses on basement-hosted deposits within graphitic structures, a common feature in Athabasca Basin uranium deposits like Arrow and Triple R.

"From the launch of the company in January, we took a very diligent yet aggressive approach to discovery," stated Galen McNamara, CEO of Aero Energy. "The combination of historical data and the results from the first drill program serve as evidence that basement-hosted mineralization akin to the large deposits beneath and adjacent to the Athabasca Basin is present in the area."

The Murmac project spans 25,607 acres and holds a production legacy of approximately 70 million pounds of U3O8. Similarly, the 48,443-acre Sun Dog property hosts the historic Gunnar uranium mine, which once held the title of the world's largest uranium producer. Past exploration focused on fault-hosted mineralization, missing the basement-hosted uranium potential that Aero's recent findings have validated.

Recent exploration efforts included a VTEM Plus survey, flown over 3,350 kilometers, identifying graphite-rich rocks that support Aero's exploration thesis. Additionally, two new occurrences of strong radioactivity were identified at surface-level scout locations: Target A15 showed 60,793 counts per second, and Target P4 displayed 13,533 counts per second. Summer 2024 drilling included 1,550 meters at Murmac and 1,600 meters at Sun Dog, highlighting shallow, high-grade potential in both areas.

In parallel, Aero Energy has announced a CA$2.5 million non-brokered private placement to support further exploration. The proceeds from flow-through units will fund work programs across Murmac, Sun Dog, and the Strike property, with the remaining funds allocated to general working capital.

Why Uranium?

The uranium sector has recently experienced strong growth, largely driven by increasing global demand and efforts to diversify from Russian supply chains. On September 30, The New York Times discussed the resurgence in Western uranium production, highlighting that "uranium mines are ramping up across the West, spurred by rising demand for electricity and federal efforts to cut Russia out of the supply chain." Aero Energy's recent discoveries and forthcoming winter drilling plans at Murmac and Sun Dog reflect this trend, with CEO Galen McNamara remarking, "The combination of historical data and the results from the first drill program serve as evidence that basement-hosted mineralization . . . is present in the area," suggesting strong potential for the Canadian uranium market to contribute to non-Russian nuclear fuel supplies.

Jeff Clark of The Gold Advisor highlighted his continued confidence in the company by stating, "I remain overweight the stock."

On October 9, Reuters reported that demand from U.S. buyers has been on the rise, as "a strong rise in demand from its U.S. customers" pushed Orano's recent plans to expand uranium enrichment in the United States and France. This shift underscores Aero Energy's recent investments in Northern Saskatchewan, where the company has identified high-grade uranium mineralization in both the Murmac and Sun Dog projects, aiming to meet future supply demands with a focus on basement-hosted deposits.

As Forbes reported on October 11, the uranium market experienced renewed momentum after Russian President Vladimir Putin hinted at the possibility of a ban on uranium exports to Western nations. This suggestion "jolted the uranium market," which had been declining after peaking earlier in the year. The price of uranium rebounded to US$83.50 per pound, reflecting rising concerns about potential supply disruptions. Citi analysts noted that “Russia supplies close to 12% of U3O8, 25% of UF6, and 35% of EUP to international markets,” underscoring the challenges that Western nations, particularly the U.S. and Europe, could face in replacing these critical materials. This market dynamic positions uranium companies operating outside of Russia, like those in the Athabasca Basin, to benefit from supply gaps and heightened demand.

MSN reported on October 13 that the UK's nuclear power capacity is set to decrease dramatically in the coming years, with the planned closure of four out of five remaining nuclear plants by 2028. This reduction in capacity is expected to increase pressure on global uranium supplies as demand for nuclear energy continues to rise amid efforts to meet climate goals. The ongoing shift toward low-carbon energy sources, coupled with the planned closures, could create further supply constraints and drive demand for uranium from alternative sources.

Aero's Catalysts

According to the company's October 2024 investor presentation, the ongoing development at Murmac and Sun Dog highlights Aero Energy's strategy to enhance shareholder value by targeting high-grade uranium deposits in underexplored regions. Aero has leveraged recent technology investments, including VTEM Plus aerial surveys, which identified graphite-rich formations favorable for uranium. The exploration efforts build on the CA$7.6 million previously invested by project partners Fortune Bay and Standard Uranium, which has contributed to refining the drill targets. As Aero works with its partners to maximize the impact of this winter's drilling program, the company's strategic location on the north rim of the Athabasca Basin positions it well to expand these discoveries and attract continued investor interest.

The recently announced CA$2.5 million private placement will further strengthen Aero's financial capacity to carry out its targeted drill campaigns and exploration work.

Analyzing Aero

Jeff Clark of The Gold Advisor, in his October 17 update, noted that Aero Energy has "identified more than 70 kilometers of strike to test for high-grade basement-hosted uranium," emphasizing the company's significant exploration potential in a region known for some of the world's richest uranium deposits.

Clark further commented on Aero Energy's recent results, underscoring the importance of drill hole M24-017, which intersected 8.4 meters of uranium mineralization, grading 0.3% U3O8, with assays reaching as high as 13.8% U3O8. He stated, "While not a discovery hole, per se, this hole underscores the company's thesis that these two projects are prospective for the same type of uranium mineralization as Arrow and Triple R." This observation reinforces Aero Energy's exploration model, which targets basement-hosted uranium deposits similar to those found at other significant Athabasca Basin discoveries. [OWNERSHIP_CHART-11173]

Additionally, Clark expressed optimism regarding Aero Energy's current valuation and future prospects, recommending it as a strong buy at current levels. He highlighted his continued confidence in the company by stating, "I remain overweight the stock," suggesting that Aero Energy presents a compelling opportunity for speculative investors in the uranium exploration space.

The recently announced CA$2.5 million private placement was also acknowledged by Clark as a necessary step to fund further exploration activities. While he expressed some caution about potential dilution, he affirmed his overall support for the financing, noting that "its projects are very much worthy of follow-up."

Ownership and Share Structure

According to Refinitiv, management and insiders own 3.11% of Aero Energy. Of those, CEO Galen McNamara has the most at 2.97%. Institutions owns 4.79% with MMCAP Asset Management holding 3.89%. The rest is retail.

Aero has 92.3 million free float shares and a market cap of CA$4.5 million. The 52 week range is CA$0.040–$0.26.

Sign up for our FREE newsletter at: www.streetwisereports.com/get-news

Important Disclosures:

1) James Guttman wrote this article for Streetwise Reports LLC and provides services to Streetwise Reports as an employee.

2) This article does not constitute investment advice and is not a solicitation for any investment. Streetwise Reports does not render general or specific investment advice and the information on Streetwise Reports should not be considered a recommendation to buy or sell any security. Each reader is encouraged to consult with his or her personal financial adviser and perform their own comprehensive investment research. By opening this page, each reader accepts and agrees to Streetwise Reports' terms of use and full legal disclaimer. Streetwise Reports does not endorse or recommend the business, products, services or securities of any company.

For additional disclosures, please click here.

( Companies Mentioned: AERO:TSXV;AAUGF:OTC;UU3:FRA, )

Source: Streetwise Reports 10/22/2024

The growth of artificial intelligence, the need for more computer data centers, the eventual adoption of electric vehicles (EVs), and the need for more net-zero power means a renaissance in nuclear power is underway.

Just last month, Microsoft Corp. (MSFT:NASDAQ) announced a deal with Constellation Energy Group (CEG:NYSE) to restart and buy all of the power from one of the shut-down reactors at its infamous Three Mile Island plant in Pennsylvania and the Biden administration also announced a plan to restart the Palisades plant in Michigan.

"Biden has called for a tripling of U.S. nuclear power capacity to fuel energy demand that is accelerating in part due to expansion of power-hungry technologies like artificial intelligence and cloud computing," Valerie Volcovici wrote for Reuters on Oct. 8.

The administration also wants to develop small nuclear reactors (SMRs) for certain applications.

All of this is putting the metal needed to power nuclear energy, uranium, front and center. Prices for the element have started rising, with nuclear fuel trading at US$83.30 per pound last Thursday, a level not seen since 2007, according to a report by Daily Finland on Friday.

Uranium prices are expected to move higher by the end of this quarter, when Trading Economics' global macro models and analyses forecast uranium to trade at US$84.15 per pound, Nuclear Newswire reported on Oct. 3. In another year, the site estimates that the metal will trade at US$91.80 per pound.

The Catalyst: Surging Demand

The engine driving the prices is a "fundamental global shortage" of uranium driven by surging demand, said Andre Leibenberg, chief executive officer of Yellow Cake, which is focused on providing exposure to uranium's spot price.

The demand is stemming not only from a growing recognition of nuclear power's role in the future energy mix, but also from its critical importance in supporting the AI boom and the development of data centers, he wrote in a company update last week, according to Mining Weekly.

According to the report, Liebenberg noted that the primary mine supply of 140 million pounds was significantly trailing behind global demand of more than 180 million pounds a year.

In the European Union, a "lack of clarity" about Russian uranium imports is holding back investment in new enrichment plants, according to Reuters.

Russia supplied more than 25% of European and American enriched uranium before the start of the Ukraine war in February 2022, the report said.

Since then, "the U.S. implemented a ban on imports of enriched uranium from Russia in August, with some exemptions, but in Europe, different countries have taken different approaches," muddying the waters.

Complicating matters is a hint in September that Russian President Vladimir Putin might embargo exports of the vital element to the west.

Citi, in a note to clients, said utilities have been stockpiling Russian uranium, but an embargo would make it "hard to replace" supplies of the metal in the next two years.

"Russia supplies close to 12% of U3O8 (known as yellow cake), 25% of UF6 (uranium hexafluoride) and 35% of EUP (enriched uranium product) to international markets," the bank said, according to Forbes. "While the largest share of these supplies goes to China and in supplying nuclear reactors that were built by Russia's Rosatom, we believe that at-risk supplies are exports to the U.S. or Western Europe."

The consequences of what could happen without more nuclear power can be seen in the U.K., where the number of reactors is shrinking. Four of five of them are expected to close in the next couple of years, which could "stretch the grid to the limit."

"As Britain's reactor fleet shrivels, the amount of nuclear capacity will fall from six gigawatts (GW) today to just 1.2 GW by 2028 or soon after," Jonathan Leake and Matt Oliver wrote for The Telegraph last week. "Along with rising demand from power-hungry data centers and technologies of the future, it will make it even harder to keep the lights on when wind and solar generation is low."

Small Nuclear Reactors (SMRs)

SMRs are another possible solution for some medium-sized energy needs. They have been operational for dozens of years in submarines and other long-distance ocean-going craft.

"They can be manufactured in factories and then rapidly erected on-site," Dominic Frisby wrote for his newsletter, The Flying Frisby, on Oct. 13. They are scalable, and that flexibility "aids manufacture, transportation, and installation while reducing construction time and costs."

A 440-megawatt (MW) SMR would produce about 3.5 terawatt hours (TWh) of electricity per year, enough for 1.2 million homes, Frisby noted.

SMRs produce electricity that can easily be adjusted to meet the constant, everyday needs of the grid (baseload), and they can also ramp up or down to follow changes in demand throughout the day, the author wrote. They spin in sync with the grid, so they help keep everything stable.

"When they're running, they act like a steady hand, providing momentum that makes it easier to manage sudden changes in electricity supply or demand," he wrote.

'Bucket Loads of Power' Needed

All of this equates for a bright future for the metal, he said.

"Guess what? AI requires bucket loads of power," Frisby wrote. "That's why Microsoft recently agreed to pay Constellation Energy, the new owner of America's infamous nuclear power station, Three Mile Island, a sizeable premium for its energy. There is cheaper wind and solar power to be had in Pennsylvania, but it isn't as reliable as nuclear 24 hours a day. It's not just AI. The widespread political desire to rid ourselves of fossil fuels means the world needs electricity, and fast."

Chris Temple, publisher of The National Investor, recently noted that with the Three Mile Island deal, "uranium/nuclear power is BACK!"

"I've watched as the news has continued to point to uranium being in the early innings of this new bull market," Temple wrote. "Yet the markets have been yawning . . . until now."

What follows are several uranium explorers and producers that could benefit from this upswing for investors looking to take advantage.

Baselode Energy Corp.

Baselode Energy Corp. (FIND:TSX.V; BSENF:OTCQB) controls 100% of about 273,000 hectares for exploration in the Athabasca Basin area in northern Saskatchewan, Canada.[OWNERSHIP_CHART-10321]

The company said it discovered the ACKIO near-surface, high-grade uranium deposit in September 2021. ACKIO measures greater than 375 meters along strike, greater than 150 meters wide, and is comprised of at least 11 separate zones. Mineralization starts as shallow as 28 meters beneath the surface and continues down to about 300 meters depth beneath the surface, with the bulk of mineralization occurring in the upper 120 meters, Baselode said. ACKIO remains open to the west and south and along the Athabasca sandstone unconformity to the east and south.

Earlier this month, the company reported positive uranium assay results from three drill holes of its 2024 drill program at ACKIO.

Notably, drill hole AK24-119 intersected 0.28% U3O8 over 21.0 meters, including a high-grade section of 1.55% U3O8 over 1.5 meters at a depth of 141 meters. While drill hole AK24-118 returned 0.59% U3O8 over 8.5 meters, including 1.25% U3O8 over 1.5 meters at a depth of 153 meters.

"These results strengthen our confidence in ACKIO," Chief Executive Officer James Sykes said in a release. "It's remarkable that, just over three years after discovering ACKIO, we're still achieving better-than-expected grades and widths."

Baselode expects further assay results from the remaining 40 drill holes to be released after quality review and approval.

David Talbot, Managing Director at Red Cloud Securities, noted in a September 17 report that drilling at ACKIO "continued to expand the mineralized footprint at Pods 1, 6, and 7," highlighting that "thirteen holes reported composite intervals of anomalous radioactivity between 11m and 42m in thickness."

In his report, Talbot rated the stock as a Buy and further projected the potential for "8-10-12 million pounds of U3O8 at a grade of ~0.3% U3O8," which aligns with typical grades found in the southeastern part of the Athabasca Basin.

According to Refinitiv, Baselode has institutions holding 23.26% with Alps Advisors holding the bulk of it with 17.94%, followed by Vident Investment Advisory LLC at 2.97%. Management and Insiders hold 1.59%. The rest is retail.

The company has a market cap of CA$20.05 million, with 131.51 free float shares. It trades in the 52-week range between CA$0.10 and CA$0.61.

Uranium Energy Corp.

According to its website, Uranium Energy Corp. (UEC:NYSE AMERICAN) is America's "largest and fastest growing supplier of uranium."[OWNERSHIP_CHART-402]

The company said it is advancing the next generation of low-cost, environmentally friendly in-situ recovery (ISR) mining uranium projects in the United States and high-grade conventional projects in Canada. It has two production-ready ISR hub and spoke platforms in South Texas and Wyoming.

Additionally, Uranium Energy Corp. said it has diversified uranium holdings with one of the largest physical uranium portfolios of U.S. warehoused U3O8; a major equity stake in Uranium Royalty Corp., the only royalty company in the sector; and a Western Hemisphere pipeline of resource stage uranium projects.

Most recently, the company announced it was expanding its U.S. uranium production capacity by acquiring Rio Tinto Plc.'s Sweetwater Plant and a portfolio of Wyoming uranium assets.

On September 25, Temple of The National Investor noted that UEC was "upgraded back to Buy" following recent uranium market news. He pointed to UEC's acquisition of the Wyoming uranium assets as a catalyst, emphasizing that uranium is "in the early innings of this new bull market."

Jeff Clark of The Gold Advisor, in his September 26 update, called the acquisition a "significant move," noting that it consolidated a large portfolio of uranium assets under UEC's control, positioning the company for rapid growth. He also highlighted the company's strategic advantage with "53,000 additional acres for exploration," reinforcing UEC's potential to ramp up production.

According to Reuters, Uranium Energy has a market cap of US$3.48 billion and 411.41 million shares outstanding. It trades in a 52-week range of US$4.06 and US$8.66.

About 2% of UE is help by management and insiders, Reuters noted. The largest portion, 77.58%, is held by institutional investors. The rest is in retail.

Terra Clean Energy Corp.

Formerly Tisdale Clean Energy Corp., Terra Clean Energy Corp. (TCEC:CSE; TCEFF:OTC; T1KC:FSE), a Canadian-based uranium exploration and development company, is currently developing the South Falcon East uranium project, which holds a 6.96-million-pound inferred uranium resource within the Fraser Lakes Zone B uranium/thorium deposit, located in the Athabasca Basin region of Saskatchewan.[OWNERSHIP_CHART-10935]

Representing a portion of Skyharbour Resources Ltd.'s existing South Falcon Project, Terra Clean Energy's project covers approximately 12,464 hectares and lies 18 kilometers outside the Athabasca Basin, approximately 50 kilometers east of the Key Lake Mine.

Recently, the company announced a comprehensive exploration program set for Winter 2025 at its South Falcon East Uranium Project. The work will focus on extending the mineralized footprint at the Fraser Lakes B Uranium Deposit and includes about 2,000 meters of infill and step-out drilling designed to verify existing mineralized zones and identify additional targets.

In a release, Chief Executive Officer Alex Klenman described the initiative as "a unique setup for a Canadian microcap, offering multiple paths to significant value creation." This US$1.5 million project will involve TerraLogic Exploration Inc., operating out of SkyHarbour's McGowan Lake Camp with helicopter support.

According to Reuters, management and insiders hold 4.62% of Terra Clean Energy. Of those, Alex Klenman holds the most, with 4.37%.

Strategic Investors hold 12.03%, with Planet Ventures Inc holding the most at 7.40%. The rest is retail.

Terra Clean Energy has a market cap of CA$2.98 million and a 52-week range of CA$0.05 to CA$0.22.

North Shore Uranium Ltd.

North Shore Uranium Ltd. (NSU:TSX) said it is working to become a major force in exploration for economic uranium deposits at the eastern margin of the Athabasca Basin.[OWNERSHIP_CHART-10945]

The company said it is running exploration programs at its Falcon and West Bear properties and evaluating opportunities to complement its portfolio of uranium properties.

Falcon consists of 15 mineral claims, the company said. Four of them comprise 12,791 hectares and are 100%-owned by the company. The remaining 11 claims totaling 2,908 hectares are subject to an option agreement with Skyharbour Resources Ltd. Under the terms of the option agreement, North Shore has the option to earn up to 100% interest in the 11 claims by completing certain payments.

Earlier this month, the company announced details of its target generation efforts at its Falcon uranium project at the eastern margin of Saskatchewan's Athabasca Basin. The company said it has identified 36 uranium targets across three zones.

"We have a great pipeline of targets to choose from for our next drill program at Falcon," said President and Chief Executive Officer Brooke Clements. "Our Zone 2 has attracted the interest of uranium explorers in the past, and we believe there is potential to make a significant uranium discovery using new data and interpretation."

Earlier this month, North Shore announced it had received a Crown Land Work permit for the full 55,700-hectare Falcon project. Issued by the Saskatchewan Ministry of Environment, it authorizes the company to conduct mineral exploration activities, including prospecting and ground geophysics, trail and drill site clearing, line cutting, the drilling of up to 75 exploration drill holes, and the storage of drill core. The permit expires in July 2027.

Insiders and founding investors own approximately 45% of the issued and outstanding shares. Clements himself owns 3.6% or 1.33M shares, Director Doris Meyer has 2.11% or 0.78M shares, and Director James Arthur holds 1.58% or 0.58M shares. According to North Shore, 14.92M shares (40.5%) held by six founding investors are subject to a voluntary pooling agreement that restricts the disposition of these shares before October 19, 2026.

Most of the rest is with retail, as the institutional holdings are minor.

North Shore has 36.84M outstanding shares and currently has a market cap of CA$1.47 million. It has traded in the past 52 weeks between CA$0.04 and CA$0.30 per share.

Skyharbour Resources Ltd.

Skyharbour Resources Ltd. (SYH:TSX.V; SYHBF:OTCQX; SC1P:FSE) has an extensive portfolio of uranium exploration projects in Canada's Athabasca Basin, with 29 projects, 10 of which are drill-ready, covering over 1.4 million acres of mineral claims. In addition to being a high-grade uranium exploration company, Skyharbour utilizes a prospect generator strategy by bringing in partner companies to advance its secondary assets.[OWNERSHIP_CHART-6026]

In an updated research note on July 24, Analyst Sid Rajeev of Fundamental Research Corp. wrote that Skyharbour "owns one of the largest portfolios among uranium juniors in the Athabasca Basin."

"Given the highly vulnerable uranium supply chain, we anticipate continued consolidation within the sector," wrote Rajeev, who reiterated the firm's Buy rating and adjusted its fair value estimate from CA$1.16 to CA$1.21 per share. "Additionally, the rapidly growing demand for energy from the AI industry is likely to accelerate the adoption of nuclear power, which should, in turn, spotlight uranium juniors in the coming months."

Skyharbour acquired from Denison Mines, a large strategic shareholder of the company, a 100% interest in the Moore Uranium Project, which is located 15 kilometers east of Denison's Wheeler River project and 39 kilometers south of Cameco's McArthur River uranium mine. Moore is an advanced-stage uranium exploration property with high-grade uranium mineralization at the Maverick Zone, including highlight drill results of 6.0% U3O8 over 5.9 meters, including 20.8% U3O8 over 1.5 meters at a vertical depth of 265 meters.

Adjacent to the Moore Uranium Project is Skyharbour's Russell Lake Uranium Project optioned from Rio Tinto, which hosts historical high-grade drill intercepts over a large property area with robust exploration upside potential. The 73,294-ha Russell Lake Uranium Property is strategically located in the central core of the Eastern Athabasca Basin of northern Saskatchewan. Skyharbour has recently discovered high-grade uranium mineralization in a new zone at Russell and is carrying out an additional 7-8,000-meter drill campaign across both Russell and Moore.

Management, insiders, and close business associates own approximately 5% of Skyharbour.

According to Reuters, President and CEO Trimble owns 1.6%, and Director David Cates owns 0.70%.

Institutional, corporate, and strategic investors own approximately 55% of the company. Denison Mines owns 6.3%, Rio Tinto owns 2.0%, Extract Advisors LLC owns 9%, Alps Advisors Inc. owns 9.91%, Mirae Asset Global Investments (U.S.A) L.L.C. owns 6.29%, Sprott Asset Management L.P. owns 1.5%, and Incrementum AG owns 1.18%, Reuters reported.

There are 182.53 million shares outstanding with 178 million free float traded shares, while the company has a market cap of CA$89.44 million and trades in a 52-week range of CA$0.31 and CA$0.64.

ATHA Energy Corp.

Atha Energy Corp. (SASK:TSX.V; SASKF:OTCMKTS) is a Canadian mineral company engaged in the acquisition, exploration, and development of uranium assets with a portfolio including three 100%-owned post-discovery uranium projects (the Angilak Project located in Nunavut, and CMB Discoveries in Labrador hosting historical resource estimates of 43.3 million pounds and 14.5 million pounds U3O8 respectively, and the newly discovered basement-hosted GMZ high-grade uranium discovery located in the Athabasca Basin).[OWNERSHIP_CHART-11007]

In addition, the company said it holds the largest cumulative prospective exploration land package (more than 8.5 million acres) in two of the world's most prominent basins for uranium discoveries. ATHA also holds a 10% carried interest in key Athabasca Basin exploration projects operated by NexGen Energy Ltd. and IsoEnergy Ltd.

Technical Analyst Maund considers Atha Energy to be "THE top play in the uranium sector" and has an Immediate Strong Buy rating on it, he wrote in the previously mentioned Oct. 17 report.

The company's 3-, 13- and 26-month charts indicate its stock price had been in a bear market since trading began until September, when it had an upwave or preliminary breakout. This, along with other indicators, including positive accumulation-distribution convergence and high volume, suggest another upleg is expected soon, he said.

"Given the outlook for the uranium price and what Atha Energy has going for it, its stock is astoundingly cheap after its persistent downtrend this year," Maund wrote.

According to Refinitiv, 10 management and insiders own 16.44% of Atha Energy. The Top 5 are Timothy Young with 6.32%, Matthew Mason with 5.8%, Atha Chairman Michael Castanho with 1.16%, and Atha Director Sean Kallir with 0.9%.

Seven institutional investors together hold 9.38%. The Top 3 are Alps Advisors Inc. with 6.26%, Sprott Asset Management LP with 1.3%, and Vident Investment Advisory LLC with 0.8%.

The remaining 74.18% of Atha is in retail.

According to the company, it has 277.9M shares outstanding, 14M options, 4M restricted stock units/performance rights, and 10.2M warrants.

Reuters reports Atha's market cap is CA$208.42 million, and its 52-week range is CA$0.46−$1.42 per share.

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Important Disclosures:

1. Skyharbour Resources Ltd. and Terra Clean Energy Corp. are billboard sponsors of Streetwise Reports and pay SWR a monthly sponsorship fee between US$4,000 and US$5,000. In addition, Terra Clean Energy has a consulting relationship with Street Smart an affiliate of Streetwise Reports. Street Smart Clients pay a monthly consulting fee between US$8,000 and US$20,000.
2. As of the date of this article, officers and/or employees of Streetwise Reports LLC (including members of their household) own securities of North Shore Uranium Ltd., Uranium Energy Corp., and Terra Clean Energy.
3. Steve Sobek wrote this article for Streetwise Reports LLC and provides services to Streetwise Reports as an employee.
4. This article does not constitute investment advice and is not a solicitation for any investment. Streetwise Reports does not render general or specific investment advice and the information on Streetwise Reports should not be considered a recommendation to buy or sell any security. Each reader is encouraged to consult with his or her personal financial adviser and perform their own comprehensive investment research. By opening this page, each reader accepts and agrees to Streetwise Reports' terms of use and full legal disclaimer. Streetwise Reports does not endorse or recommend the business, products, services or securities of any company.

For additional disclosures, please click here.

( Companies Mentioned: SASK:TSX.V; SASKF:OTCMKTS, FIND:TSX.V; BSENF:OTCQB, NSU:TSX, SYH:TSX.V; SYHBF:OTCQX; SC1P:FSE, TCEC:CSE; TCEFF:OTC; T1KC:FSE, UEC:NYSE AMERICAN, )

Source: Streetwise Reports 10/24/2024

Skyharbour Resources Ltd. (SYH:TSX.V; SYHBF:OTCQX; SC1P:FSE) announced that it has completed its earn-in requirements for a 51% interest at its co-flagship Russell Lake Uranium Project in the central core of Canada's Eastern Athabasca Basin in Saskatchewan.

The company and Rio Tinto have formed a joint venture (JV) to further explore the property, with Skyharbour holding 51% ownership interest and Rio Tinto holding 49%.

This summer, Skyharbour announced that in the first phase of drilling it had found what was historically the best uranium intercept mineralization at the project when hole RSL24-02 at the recently identified Fork Target returned a 2.5-meter-wide intercept of 0.721% U3O8 at a relatively shallow depth of 338.1 meters, including 2.99% U3O8 over 0.5 meters at 339.6 meters.

The second phase of drilling included three holes totaling 1,649 meters, with emphasis "at the MZE (M-Zone Extension) target, approximately 10 km northeast of the Fork target, identified prospective faulted graphitic gneiss accompanied by anomalous sandstone and basement geochemistry," Skyharbour said.

"The discovery of multi-percent, high-grade, sandstone-hosted uranium mineralization at a new target is a major breakthrough in the discovery process at Russell — something that hasn't been seen before at the project with the potential to quickly grow with more drilling," President and Chief Executive Officer Jordan Trimble said at the time.

ANT Survey, Upcoming Drilling Program

The company also announced on Thursday that it had completed an Ambient Noise Tomography (ANT) survey in preparation for further drilling at the Russell Lake Project, set to commence in the fall. The survey used Fleet Space Technologies' Exosphere technology to acquire 3D passive seismic velocity data over the highly prospective Grayling and Fork target areas, where previous drilling has intersected high-grade uranium mineralization.

"The ANT technology has been successfully employed in mapping significant sandstone and basement structures and associated alteration zones related to hydrothermal fluids pathways in the Athabasca Basin," the company said.

Results from the survey will be used to further refine drill targets for the upcoming drilling program. Skyharbour is fully funded and permitted for the follow-up fall drill campaign consisting of approximately 7,000 metres of drilling at its main Russell and Moore Projects, with 2,500 meters of drilling at Moore and 4,500 meters of drilling at Russell.

A Great Neighborhood

Russell Lake is a large, advanced-stage uranium exploration property totaling 73,294 hectares strategically located between Cameco's Key Lake and McArthur River projects and Denison's Wheeler River Project to the west, and Skyharbour's Moore project to the east.

"Skyharbour's acquisition of a majority interest in Russell Lake creates a large, nearly contiguous block of highly prospective uranium claims totaling 108,999 hectares between the Russell Lake and the Moore uranium projects," the company said.

Most of the historical exploration at Russell Lake was conducted before 2010, prior to the discovery of several major deposits in/around the Athabasca Basin, Skyharbour said.

Notable exploration targets on the property include the Grayling Zone, the M-Zone Extension target, the Little Man Lake target, the Christie Lake target, the Fox Lake Trail target and the newly identified Fork Zone target.

"More than 35 kilometers of largely untested prospective conductors in areas of low magnetic intensity also exist on the property," the company noted.

In an updated research note in July, Analyst Sid Rajeev of Fundamental Research Corp. wrote that Skyharbour "owns one of the largest portfolios among uranium juniors in the Athabasca Basin."

"Given the highly vulnerable uranium supply chain, we anticipate continued consolidation within the sector," wrote Rajeev, who rated the stock a Buy with a fair value estimate of CA$1.21 per share. "Additionally, the rapidly growing demand for energy from the AI (artificial intelligence) industry is likely to accelerate the adoption of nuclear power, which should, in turn, spotlight uranium juniors in the coming months."

The Catalyst: Uranium is 'BACK!'

The growth of AI, new data centers, electric vehicle (EV) adoption, and the need for more net-zero power means more nuclear energy and the uranium needed to fuel it.

Uranium prices are expected to move higher by the end of this quarter, when Trading Economics' global macro models and analyses forecast uranium to trade at US$84.15 per pound, Nuclear Newswire reported on Oct. 3. In another year, the site estimates that the metal will trade at US$91.80 per pound.

Just last month, Microsoft Corp. (MSFT:NASDAQ) announced a deal with Constellation Energy Group (CEG:NYSE) to restart and buy all of the power from one of the shut-down reactors at its infamous Three Mile Island plant in Pennsylvania and the Biden administration also announced a plan to restart the Palisades plant in Michigan.

Chris Temple, publisher of The National Investor, recently noted that with the Three Mile Island deal, "uranium/nuclear power is BACK!"[OWNERSHIP_CHART-6026]

"I've watched as the news has continued to point to uranium being in the early innings of this new bull market," Temple wrote. "Yet the markets have been yawning . . . until now."

Ownership and Share Structure

Management, insiders, and close business associates own approximately 5% of Skyharbour.

According to Reuters, President and CEO Trimble owns 1.6%, and Director David Cates owns 0.70%.

Institutional, corporate, and strategic investors own approximately 55% of the company. Denison Mines owns 6.3%, Rio Tinto owns 2.0%, Extract Advisors LLC owns 9%, Alps Advisors Inc. owns 9.91%, Mirae Asset Global Investments (U.S.A) L.L.C. owns 6.29%, Sprott Asset Management L.P. owns 1.5%, and Incrementum AG owns 1.18%, Reuters reported.

There are 182.53 million shares outstanding with 178 million free float traded shares, while the company has a market cap of CA$88.53 million and trades in a 52-week range of CA$0.31 and CA$0.64.

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Important Disclosures:

1. Skyharbour Resources Ltd. is a billboard sponsor of Streetwise Reports and pays SWR a monthly sponsorship fee between US$4,000 and US$5,000.
2. Steve Sobek wrote this article for Streetwise Reports LLC and provides services to Streetwise Reports as an employee.
3. This article does not constitute investment advice and is not a solicitation for any investment. Streetwise Reports does not render general or specific investment advice and the information on Streetwise Reports should not be considered a recommendation to buy or sell any security. Each reader is encouraged to consult with his or her personal financial adviser and perform their own comprehensive investment research. By opening this page, each reader accepts and agrees to Streetwise Reports' terms of use and full legal disclaimer. Streetwise Reports does not endorse or recommend the business, products, services or securities of any company.

For additional disclosures, please click here.

( Companies Mentioned: SYH:TSX.V; SYHBF:OTCQX; SC1P:FSE, )

Off-Ramp producer Queena Kim acts on behalf of millions of Angelenos. The meter didn't stand a chance.

; Credit: John Rabe/KPCC

Off-Ramp began eleven years ago, just as digital technology was beginning to overtake radio. No more cassette tape or mini-discs; host John and producer Queena Kim thought they could take on all of Los Angeles with two digital audio recorders and a different approach to public radio.

Short-handed as they were, John and Queena had to adopt slash-and-burn tactics to get each show produced on time. The majority of interviews were conducted in the field; at the homes, workplaces, and favorite hang-outs of their subjects (instead of waiting for guests to come to the station) and many of the stories were edited as simple two-way interviews with life in Southern California picked up as ambient, background noise. After all, a show called Off-Ramp had better be ready to brave some LA traffic.

At this juncture, John feels free to say what he has always wanted to, but hasn't for fear of self-aggrandizement: "I think we were trendsetters. I think Marketplace and NPR heard the stuff we were doing, and started doing stuff like it." Once again, Kim chalks it up to being in the right place at the right time technologically, and the two person team's willingness to break out of the old-school, public radio way writing a story: with a very clear sonic difference between studio narration and field audio.

Of course, it wasn't just Marantz recorders and minimal rewriting that gave Off-Ramp its flavor. There was a whole lot of weird spewing up out of Los Angeles during the show's formative years and Kim's tenure (2006-2010). She recalls covering a ten-theremin orchestra at Disney Hall, and the excitement of working on a show that let her (and the listeners, vicariously) do things she always wanted to do. "It was almost like having a free pass to the city."

In order to capture what was new and exciting, John and Queena both agree that it was absolutely vital to abandon the reporter's instinct for safely packaging the story ahead of time. John cites his editor at Minnesota Public Radio's philosophy, Mike Edgerly; "Go find what the story is, go out and explore and figure out what the story is. Don't figure it out at your desk first." The collaboration between John's ideas and Kim's sense of logistics formed a dialectic relationship, valuing the "third, better idea" over either of their original perspectives. In light of that, John says Queena Kim was the perfect person with whom to start Off-Ramp. 

This content is from Southern California Public Radio. View the original story at SCPR.org.

L-R: Three Southern California retro fanatics, John Rabe, Chris Nichols, and Charles Phoenix; Credit: John Rabe/KPCC

Is it possible that the two titans of retro Southern California - Charles Phoenix and Charles Nichols - have never been on Off-Ramp at the same time? But maybe that brings up a larger question. Is it even possible for them to exist in the same place, at the same time, or would their meeting cause a cosmic singularity, an undarnable rending of the time-space continuum?

The answers are, stupidly, yes; and thankfully, yes.

Over the 11 years of Off-Ramp, "God Bless Americana" author Charles Phoenix and Los Angeles Magazine's Chris Nichols have played a large part in bringing interesting and endangered places to our listeners. From Pomona to Chatsworth to Bellflower to Anaheim, both men have made careers of highlighting and preserving things that in their day were seen as expendable, flavor-of-the-month, mass marketed creations. Like programmatic architecture (buildings that look like what they're selling or making, i.e. the Donut Hole in La Puente, the Idle Hour - a giant wine cask - in NoHo).

Yet, with hindsight, we've been able to see them as archetypal and important touchstones of our region.

For their final appearances on the show, they got in the Mercedes and shared their love of getting lost in Southern California.

This content is from Southern California Public Radio. View the original story at SCPR.org.

Full Text:

The same artificial intelligence technique typically used in facial recognition systems could help improve prediction of hailstorms and their severity, according to a new, National Science Foundation-funded study. Instead of zeroing in on the features of an individual face, scientists trained a deep learning model called a convolutional neural network to recognize features of individual storms that affect the formation of hail and how large the hailstones will be, both of which are notoriously difficult to predict. The promising results highlight the importance of taking into account a storm's entire structure, something that's been challenging to do with existing hail-forecasting techniques.

Image credit: Carlye Calvin

Full Text:

What an animal eats is a fundamental aspect of its biology, but surprisingly, the evolution of diet had not been studied across the animal kingdom until now. Scientists at the University of Arizona report several unexpected findings from taking a deep dive into the evolutionary history of more than one million animal species and going back 800 million years, when the first animals appeared on our planet. The study revealed several surprising key insights: Many species living today that are carnivorous, meaning they eat other animals, can trace this diet back to a common ancestor more than 800 million years ago; A plant-based, or herbivorous, diet is not the evolutionary driver for new species that it was believed to be; Closely related animals tend to share the same dietary category -- plant-eating, meat-eating, or both. This finding implies that switching between dietary lifestyles is not something that happens easily and often over the course of evolution.

Image credit: Daniel Stolte/UANews

Full Text:

How do galaxies such as our Milky Way come into existence? How do they grow and change over time? The science behind galaxy formation has long been a puzzle, but a University of Arizona-led team of scientists is one step closer to finding answers, thanks to supercomputer simulations. Observing real galaxies in space can only provide snapshots in time, so researchers who study how galaxies evolve over billions of years need to use computer simulations. Traditionally, astronomers have used simulations to invent theories of galaxy formation and test them, but they have had to proceed one galaxy at a time. Peter Behroozi of the university's Steward Observatory and colleagues overcame this hurdle by generating millions of different universes on a supercomputer, each according to different physical theories for how galaxies form. The findings challenge fundamental ideas about the role dark matter plays in galaxy formation, the evolution of galaxies over time and the birth of stars. The study is the first to create self-consistent universes that are exact replicas of the real ones -- computer simulations that each represent a sizeable chunk of the actual cosmos, containing 12 million galaxies and spanning the time from 400 million years after the Big Bang to the present day. The results from the "UniverseMachine," as the authors call their approach, have helped resolve the long-standing paradox of why galaxies cease to form new stars even when they retain plenty of hydrogen gas, the raw material from which stars are forged. The research is partially funded by NSF's Division of Physics through grants to UC Santa Barbara's Kavli Institute for Theoretical Physics and the Aspen Center for Physics.

Image credit: NASA/ESA/J. Lotz and the HFF Team/STScI

Boxo has partnered with global payments infrastructure firm

Mbank has partnered with Al Etihad Payments Company (AEP), a Central Bank of the UAE (CBUAE) subsidiary, to introduce the Aani Instant Payment Platform on its mobile application.

Source: Jeremy Hoy 11/06/2024

O3 Mining Inc. (TSXV:OIII; OTCQX:OIIIF) announced it now intends to release a completed preliminary economic assessment (PEA) of its Marban Alliance project near Val d'Or in Quebec, Canada, in Q4/24, ahead of the previously planned feasibility study (FS), reported Canaccord Genuity analyst Jeremy Hoy in an Oct. 30 research note.

"Given the time passed since the 2022 prefeasibility study (PFS), moderate inflation, and the run-up in the gold price, we expect to see incremental increases to costs and capex, and likely higher commodity price assumptions for resources in the PEA," Hoy wrote.

Potential Gain of 254%

Canaccord Genuity reiterated its CA$4 per share price target on O3 Mining, trading at the time of the report at about CA$1.13 per share, noted Hoy. From the current price, the return to target is 254%.

The Canadian explorer-developer is a Speculative Buy.

PEA in Progress

Management indicated the PEA will encompass advancements at Marban Alliance made since the PFS, including optimized mining and processing parameters, as well as additional resources, Hoy reported. These additional ounces will come from conversion of resources at the current pits along with the Malartic H zone's 342,000 ounce gold resource.

The PEA and FS will showcase a standalone operation. O3 is evaluating toll milling options separately.

What To Expect, Watch For

Hoy presented the next steps for Marban Alliance, which are potential catalysts for O3 Mining.

Following the completion of the PEA in Q4/24, environmental baseline studies will be finished in Q1/25. The start of impact studies will follow in Q2/25. An FS on the gold project will be done in H2/25. The impact study results will be filed in Q1/26.

Meanwhile, exploration results from Horizon and Kinebik will be released as they become available. Mergers and acquisitions activity is yet another potential stock-moving event.

"O3 is progressing Marban Alliance as a standalone project, but we continue to view [the company] as an important component in any Val d'Or consolidation discussion given its proximity to existing operations and other projects of scale in the region," wrote Hoy.

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Important Disclosures:

1. O3 Mining Inc. is a billboard sponsor of Streetwise Reports and pays SWR a monthly sponsorship fee between US$4,000 and US$5,000.
2. Doresa Banning wrote this article for Streetwise Reports LLC and provides services to Streetwise Reports as an independent contractor.
3. This article does not constitute investment advice and is not a solicitation for any investment. Streetwise Reports does not render general or specific investment advice and the information on Streetwise Reports should not be considered a recommendation to buy or sell any security. Each reader is encouraged to consult with his or her personal financial adviser and perform their own comprehensive investment research. By opening this page, each reader accepts and agrees to Streetwise Reports' terms of use and full legal disclaimer. Streetwise Reports does not endorse or recommend the business, products, services or securities of any company.

For additional disclosures, please click here.

Disclosures for Canaccord Genuity, O3 Mining Inc., October 30, 2024

Analyst Certification Each authoring analyst of Canaccord Genuity whose name appears on the front page of this research hereby certifies that (i) the recommendations and opinions expressed in this research accurately reflect the authoring analyst’s personal, independent and objective views about any and all of the designated investments or relevant issuers discussed herein that are within such authoring analyst’s coverage universe and (ii) no part of the authoring analyst’s compensation was, is, or will be, directly or indirectly, related to the specific recommendations or views expressed by the authoring analyst in the research, and (iii) to the best of the authoring analyst’s knowledge, she/he is not in receipt of material non-public information about the issuer. Analysts employed outside the US are not registered as research analysts with FINRA. These analysts may not be associated persons of Canaccord Genuity LLC and therefore may not be subject to the FINRA Rule 2241 and NYSE Rule 472 restrictions on communications with a subject company, public appearances and trading securities held by a research analyst account.

Required Company-Specific Disclosures (as of date of this publication) O3 Mining Inc. currently is, or in the past 12 months was, a client of Canaccord Genuity or its affiliated companies. During this period, Canaccord Genuity or its affiliated companies provided investment banking services to O3 Mining Inc.. In the past 12 months, Canaccord Genuity or its affiliated companies have received compensation for Investment Banking services from O3 Mining Inc. . In the past 12 months, Canaccord Genuity or any of its affiliated companies have been lead manager, co-lead manager or comanager of a public offering of securities of O3 Mining Inc. or any publicly disclosed offer of securities of O3 Mining Inc. or in any related derivatives. Canaccord Genuity or one or more of its affiliated companies intend to seek or expect to receive compensation for Investment Banking services from O3 Mining Inc. in the next three months. An analyst has visited the material operations of O3 Mining Inc.. Partial payment was received for the related travel costs.

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( Companies Mentioned: TSXV:OIII;OTCQX:OIIIF, )