… advice from former New Zealand Davis Cup player Dan Willman, who has … challenges Taranaki for the Christie Cup, the symbol of Central … place at the World Junior Davis Cup tournament in the Czech … ; Willman added. The Christie Cup has been played for since ….

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Imagine pulling up to a refueling station and filling your vehicle’s tank with liquid hydrogen, as safe and convenient to handle as gasoline or diesel, without the need for high-pressure tanks or cryogenic storage. This vision of a sustainable future could become a reality if a Calgary, Canada–based company, Ayrton Energy, can scale up its innovative method of hydrogen storage and distribution. Ayrton’s technology could make hydrogen a viable, one-to-one replacement for fossil fuels in existing infrastructure like pipelines, fuel tankers, rail cars, and trucks.

The company’s approach is to use liquid organic hydrogen carriers (LOHCs) to make it easier to transport and store hydrogen. The method chemically bonds hydrogen to carrier molecules, which absorb hydrogen molecules and make them more stable—kind of like hydrogenating cooking oil to produce margarine.

A researcher pours a sample of Ayrton’s LOHC fluid into a vial.Ayrton Energy

The approach would allow liquid hydrogen to be transported and stored in ambient conditions, rather than in the high-pressure, cryogenic tanks (to hold it at temperatures below -252 ºC) currently required for keeping hydrogen in liquid form. It would also be a big improvement on gaseous hydrogen, which is highly volatile and difficult to keep contained.

Founded in 2021, Ayrton is one of several companies across the globe developing LOHCs, including Japan’s Chiyoda and Mitsubishi, Germany’s Covalion, and China’s Hynertech. But toxicity, energy density, and input energy issues have limited LOHCs as contenders for making liquid hydrogen feasible. Ayrton says its formulation eliminates these trade-offs.

Safe, Efficient Hydrogen Fuel for Vehicles

Conventional LOHC technologies used by most of the aforementioned companies rely on substances such as toluene, which forms methylcyclohexane when hydrogenated. These carriers pose safety risks due to their flammability and volatility. Hydrogenious LOHC Technologies in Erlanger, Germany and other hydrogen fuel companies have shifted toward dibenzyltoluene, a more stable carrier that holds more hydrogen per unit volume than methylcyclohexane, though it requires higher temperatures (and thus more energy) to bind and release the hydrogen. Dibenzyltoluene hydrogenation occurs at between 3 and 10 megapascals (30 and 100 bar) and 200–300 ºC, compared with 10 MPa (100 bar), and just under 200 ºC for methylcyclohexane.

Ayrton’s proprietary oil-based hydrogen carrier not only captures and releases hydrogen with less input energy than is required for other LOHCs, but also stores more hydrogen than methylcyclohexane can—55 kilograms per cubic meter compared with methylcyclohexane’s 50 kg/m³. Dibenzyltoluene holds more hydrogen per unit volume (up to 65 kg/m³), but Ayrton’s approach to infusing the carrier with hydrogen atoms promises to cost less. Hydrogenation or dehydrogenation with Ayrton’s carrier fluid occurs at 0.1 megapascal (1 bar) and about 100 ºC, says founder and CEO Natasha Kostenuk. And as with the other LOHCs, after hydrogenation it can be transported and stored at ambient temperatures and pressures.

Judges described [Ayrton's approach] as a critical technology for the deployment of hydrogen at large scale.” —Katie Richardson, National Renewable Energy Lab

Ayrton’s LOHC fluid is as safe to handle as margarine, but it’s still a chemical, says Kostenuk. “I wouldn’t drink it. If you did, you wouldn’t feel very good. But it’s not lethal,” she says.

Kostenuk and fellow Ayrton cofounder Brandy Kinkead (who serves as the company’s chief technical officer) were originally trying to bring hydrogen generators to market to fill gaps in the electrical grid. “We were looking for fuel cells and hydrogen storage. Fuel cells were easy to find, but we couldn’t find a hydrogen storage method or medium that would be safe and easy to transport to fuel our vision of what we were trying to do with hydrogen generators,” Kostenuk says. During the search, they came across LOHC technology but weren’t satisfied with the trade-offs demanded by existing liquid hydrogen carriers. “We had the idea that we could do it better,” she says. The duo pivoted, adjusting their focus from hydrogen generators to hydrogen storage solutions.

“Everybody gets excited about hydrogen production and hydrogen end use, but they forget that you have to store and manage the hydrogen,” Kostenuk says. Incompatibility with current storage and distribution has been a barrier to adoption, she says. “We’re really excited about being able to reuse existing infrastructure that’s in place all over the world.” Ayrton’s hydrogenated liquid has fuel-cell-grade (99.999 percent) hydrogen purity, so there’s no advantage in using pure liquid hydrogen with its need for subzero temperatures, according to the company.

The main challenge the company faces is the set of issues that come along with any technology scaling up from pilot-stage production to commercial manufacturing, says Kostenuk. “A crucial part of that is aligning ourselves with the right manufacturing partners along the way,” she notes.

Asked about how Ayrton is dealing with some other challenges common to LOHCs, Kostenuk says Ayrton has managed to sidestep them. “We stayed away from materials that are expensive and hard to procure, which will help us avoid any supply chain issues,” she says. By performing the reactions at such low temperatures, Ayrton can get its carrier fluid to withstand 1,000 hydrogenation-dehydrogenation cycles before it no longer holds enough hydrogen to be useful. Conventional LOHCs are limited to a couple of hundred cycles before the high temperatures required for bonding and releasing the hydrogen breaks down the fluid and diminishes its storage capacity, Kostenuk says.

Breakthrough in Hydrogen Storage Technology

In acknowledgement of what Ayrton’s nontoxic, oil-based carrier fluid could mean for the energy and transportation sectors, the U.S. National Renewable Energy Lab (NREL) at its annual Industry Growth Forum in May named Ayrton an “outstanding early-stage venture.” A selection committee of more than 180 climate tech and cleantech investors and industry experts chose Ayrton from a pool of more than 200 initial applicants, says Katie Richardson, group manager of NREL’s Innovation and Entrepreneurship Center, which organized the forum. The committee based its decision on the company’s innovation, market positioning, business model, team, next steps for funding, technology, capital use, and quality of pitch presentation. “Judges described Ayrton’s approach as a critical technology for the deployment of hydrogen at large scale,” Richardson says.

As a next step toward enabling hydrogen to push gasoline and diesel aside, “we’re talking with hydrogen producers who are right now offering their customers cryogenic and compressed hydrogen,” says Kostenuk. “If they offered LOHC, it would enable them to deliver across longer distances, in larger volumes, in a multimodal way.” The company is also talking to some industrial site owners who could use the hydrogenated LOHC for buffer storage to hold onto some of the energy they’re getting from clean, intermittent sources like solar and wind. Another natural fit, she says, is energy service providers that are looking for a reliable method of seasonal storage beyond what batteries can offer. The goal is to eventually scale up enough to become the go-to alternative (or perhaps the standard) fuel for cars, trucks, trains, and ships.

Every invention begins with a problem—and the creative act of seeing a problem where others might just see unchangeable reality. For one 5-year-old, the problem was simple: She liked to have her tummy rubbed as she fell asleep. But her mom, exhausted from working two jobs, often fell asleep herself while putting her daughter to bed. “So [the girl] invented a teddy bear that would rub her belly for her,” explains Stephanie Couch, executive director of the Lemelson MIT Program. Its mission is to nurture the next generation of inventors and entrepreneurs.

Anyone can learn to be an inventor, Couch says, given the right resources and encouragement. “Invention doesn’t come from some innate genius, it’s not something that only really special people get to do,” she says. Her program creates invention-themed curricula for U.S. classrooms, ranging from kindergarten to community college.

We’re biased, but we hope that little girl grows up to be an engineer. By the time she comes of age, the act of invention may be something entirely new—reflecting the adoption of novel tools and the guiding forces of new social structures. Engineers, with their restless curiosity and determination to optimize the world around them, are continuously in the process of reinventing invention.

In this special issue, we bring you stories of people who are in the thick of that reinvention today. IEEE Spectrum is marking 60 years of publication this year, and we’re celebrating by highlighting both the creative act and the grindingly hard engineering work required to turn an idea into something world changing. In these pages, we take you behind the scenes of some awe-inspiring projects to reveal how technology is being made—and remade—in our time.

Inventors Are Everywhere

Invention has long been a democratic process. The economist B. Zorina Khan of Bowdoin College has noted that the U.S. Patent and Trademark Office has always endeavored to allow essentially anyone to try their hand at invention. From the beginning, the patent examiners didn’t care who the applicants were—anyone with a novel and useful idea who could pay the filing fee was officially an inventor.

This ethos continues today. It’s still possible for an individual to launch a tech startup from a garage or go on “Shark Tank” to score investors. The Swedish inventor Simone Giertz, for example, made a name for herself with YouTube videos showing off her hilariously bizarre contraptions, like an alarm clock with an arm that slapped her awake. The MIT innovation scholar Eric von Hippel has spotlighted today’s vital ecosystem of “user innovation,” in which inventors such as Giertz are motivated by their own needs and desires rather than ambitions of mass manufacturing.

But that route to invention gets you only so far, and the limits of what an individual can achieve have become starker over time. To tackle some of the biggest problems facing humanity today, inventors need a deep-pocketed government sponsor or corporate largess to muster the equipment and collective human brainpower required.

When we think about the challenges of scaling up, it’s helpful to remember Alexander Graham Bell and his collaborator Thomas Watson. “They invent this cool thing that allows them to talk between two rooms—so it’s a neat invention, but it’s basically a gadget,” says Eric Hintz, a historian of invention at the Smithsonian Institution. “To go from that to a transcontinental long-distance telephone system, they needed a lot more innovation on top of the original invention.” To scale their invention, Hintz says, Bell and his colleagues built the infrastructure that eventually evolved into Bell Labs, which became the standard-bearer for corporate R&D.

In this issue, we see engineers grappling with challenges of scale in modern problems. Consider the semiconductor technology supported by the U.S. CHIPS and Science Act, a policy initiative aimed at bolstering domestic chip production. Beyond funding manufacturing, it also provides US $11 billion for R&D, including three national centers where companies can test and pilot new technologies. As one startup tells the tale, this infrastructure will drastically speed up the lab-to-fab process.

And then there are atomic clocks, the epitome of precision timekeeping. When researchers decided to build a commercial version, they had to shift their perspective, taking a sprawling laboratory setup and reimagining it as a portable unit fit for mass production and the rigors of the real world. They had to stop optimizing for precision and instead choose the most robust laser, and the atom that would go along with it.

These technology efforts benefit from infrastructure, brainpower, and cutting-edge new tools. One tool that may become ubiquitous across industries is artificial intelligence—and it’s a tool that could further expand access to the invention arena.

What if you had a team of indefatigable assistants at your disposal, ready to scour the world’s technical literature for material that could spark an idea, or to iterate on a concept 100 times before breakfast? That’s the promise of today’s generative AI. The Swiss company Iprova is exploring whether its AI tools can automate “eureka” moments for its clients, corporations that are looking to beat their competitors to the next big idea. The serial entrepreneur Steve Blank similarly advises young startup founders to embrace AI’s potential to accelerate product development; he even imagines testing product ideas on digital twins of customers. Although it’s still early days, generative AI offers inventors tools that have never been available before.

Measuring an Invention’s Impact

If AI accelerates the discovery process, and many more patentable ideas come to light as a result, then what? As it is, more than a million patents are granted every year, and we struggle to identify the ones that will make a lasting impact. Bryan Kelly, an economist at the Yale School of Management, and his collaborators made an attempt to quantify the impact of patents by doing a technology-assisted deep dive into U.S. patent records dating back to 1840. Using natural language processing, they identified patents that introduced novel phrasing that was then repeated in subsequent patents—an indicator of radical breakthroughs. For example, Elias Howe Jr.’s 1846 patent for a sewing machine wasn’t closely related to anything that came before but quickly became the basis of future sewing-machine patents.

Another foundational patent was the one awarded to an English bricklayer in 1824 for the invention of Portland cement, which is still the key ingredient in most of the world’s concrete. As Ted C. Fishman describes in his fascinating inquiry into the state of concrete today, this seemingly stable industry is in upheaval because of its heavy carbon emissions. The AI boom is fueling a construction boom in data centers, and all those buildings require billions of tons of concrete. Fishman takes readers into labs and startups where researchers are experimenting with climate-friendly formulations of cement and concrete. Who knows which of those experiments will result in a patent that echoes down the ages?

Some engineers start their invention process by thinking about the impact they want to make on the world. The eminent Indian technologist Raghunath Anant Mashelkar, who has popularized the idea of “Gandhian engineering”, advises inventors to work backward from “what we want to achieve for the betterment of humanity,” and to create problem-solving technologies that are affordable, durable, and not only for the elite.

Durability matters: Invention isn’t just about creating something brand new. It’s also about coming up with clever ways to keep an existing thing going. Such is the case with the Hubble Space Telescope. Originally designed to last 15 years, it’s been in orbit for twice that long and has actually gotten better with age, because engineers designed the satellite to be fixable and upgradable in space.

For all the invention activity around the globe—the World Intellectual Property Organization says that 3.5 million applications for patents were filed in 2022—it may be harder to invent something useful than it used to be. Not because “everything that can be invented has been invented,” as in the apocryphal quote attributed to the unfortunate head of the U.S. patent office in 1889. Rather, because so much education and experience are required before an inventor can even understand all the dimensions of the door they’re trying to crack open, much less come up with a strategy for doing so. Ben Jones, an economist at Northwestern’s Kellogg School of Management, has shown that the average age of great technological innovators rose by about six years over the course of the 20th century. “Great innovation is less and less the provenance of the young,” Jones concluded.

Consider designing something as complex as a nuclear fusion reactor, as Tom Clynes describes in “An Off-the-Shelf Stellarator.” Fusion researchers have spent decades trying to crack the code of commercially viable fusion—it’s more akin to a calling than a career. If they succeed, they will unlock essentially limitless clean energy with no greenhouse gas emissions or meltdown danger. That’s the dream that the physicists in a lab in Princeton, N.J., are chasing. But before they even started, they first had to gain an intimate understanding of all the wrong ways to build a fusion reactor. Once the team was ready to proceed, what they created was an experimental reactor that accelerates the design-build-test cycle. With new AI tools and unprecedented computational power, they’re now searching for the best ways to create the magnetic fields that will confine the plasma within the reactor. Already, two startups have spun out of the Princeton lab, both seeking a path to commercial fusion.

The stellarator story and many other articles in this issue showcase how one innovation leads to the next, and how one invention can enable many more. The legendary Dean Kamen, best known for mechanical devices like the Segway and the prosthetic “Luke” arm, is now trying to push forward the squishy world of biological manufacturing. In an interview, Kamen explains how his nonprofit is working on the infrastructure—bioreactors, sensors, and controls—that will enable companies to explore the possibilities of growing replacement organs. You could say that he’s inventing the launchpad so others can invent the rockets.

Sometimes everyone in a research field knows where the breakthrough is needed, but that doesn’t make it any easier to achieve. Case in point: the quest for a household humanoid robot that can perform domestic chores, switching effortlessly from frying an egg to folding laundry. Roboticists need better learning software that will enable their bots to navigate the uncertainties of the real world, and they also need cheaper and lighter actuators. Major advances in these two areas would unleash a torrent of creativity and may finally bring robot butlers into our homes.

And maybe the future roboticists who make those breakthroughs will have cause to thank Marina Umaschi Bers, a technologist at Boston College who cocreated the ScratchJr programming language and the KIBO robotics kit to teach kids the basics of coding and robotics in entertaining ways. She sees engineering as a playground, a place for children to explore and create, to be goofy or grandiose. If today’s kindergartners learn to think of themselves as inventors, who knows what they’ll create tomorrow?

Video Friday is your weekly selection of awesome robotics videos, collected by your friends at IEEE Spectrum robotics. We also post a weekly calendar of upcoming robotics events for the next few months. Please send us your events for inclusion.

Humanoids 2024: 22–24 November 2024, NANCY, FRANCE

Enjoy today’s videos!

We’re hoping to get more on this from Boston Dynamics, but if you haven’t seen it yet, here’s electric Atlas doing something productive (and autonomous!).

And why not do it in a hot dog costume for Halloween, too?

[ Boston Dynamics ]

Ooh, this is exciting! Aldebaran is getting ready to release a seventh generation of NAO!

[ Aldebaran ]

Okay I found this actually somewhat scary, but Happy Halloween from ANYbotics!

[ ANYbotics ]

Happy Halloween from the Clearpath!

[ Clearpath Robotics Inc. ]

Another genuinely freaky Happy Halloween, from Boston Dynamics!

[ Boston Dynamics ]

This “urban opera” by Compagnie La Machine took place last weekend in Toulouse, featuring some truly enormous fantastical robots.

[ Compagnie La Machine ]

Thanks, Thomas!

Impressive dismount from Deep Robotics’ DR01.

[ Deep Robotics ]

Cobot juggling from Daniel Simu.

[ Daniel Simu ]

Adaptive-morphology multirotors exhibit superior versatility and task-specific performance compared to traditional multirotors owing to their functional morphological adaptability. However, a notable challenge lies in the contrasting requirements of locking each morphology for flight controllability and efficiency while permitting low-energy reconfiguration. A novel design approach is proposed for reconfigurable multirotors utilizing soft multistable composite laminate airframes.

[ Environmental Robotics Lab paper ]

This is a pitching demonstration of new Torobo. New Torobo is lighter than the older version, enabling faster motion such as throwing a ball. The new model will be available in Japan in March 2025 and overseas from October 2025 onward.

[ Tokyo Robotics ]

I’m not sure what makes this “the world’s best robotic hand for manipulation research,” but it seems solid enough.

[ Robot Era ]

And now, picking a micro cat.

[ RoCogMan Lab ]

When Arvato’s Louisville, Ky. staff wanted a robotics system that could unload freight with greater speed and safety, Boston Dynamics’ Stretch robot stood out. Stretch is a first of its kind mobile robot designed specifically to unload boxes from trailers and shipping containers, freeing up employees to focus on more meaningful tasks in the warehouse. Arvato acquired its first Stretch system this year and the robot’s impact was immediate.

[ Boston Dynamics ]

NASA’s Perseverance Mars rover used its Mastcam-Z camera to capture the silhouette of Phobos, one of the two Martian moons, as it passed in front of the Sun on Sept. 30, 2024, the 1,285th Martian day, or sol, of the mission.

[ NASA ]

Students from Howard University, Moorehouse College, and Berea College joined University of Michigan robotics students in online Robotics 102 courses for the fall ‘23 and winter ‘24 semesters. The class is part of the distributed teaching collaborative, a co-teaching initiative started in 2020 aimed at providing cutting edge robotics courses for students who would normally not have access to at their current university.

[ University of Michigan Robotics ]

Discover the groundbreaking projects and cutting-edge technology at the Robotics and Automation Summer School (RASS) hosted by Los Alamos National Laboratory. In this exclusive behind-the-scenes video, students from top universities work on advanced robotics in disciplines such as AI, automation, machine learning, and autonomous systems.

[ Los Alamos National Laboratory ]

This week’s Carnegie Mellon University Robotics Institute Seminar is from Princeton University’s Anirudha Majumdar, on “Robots That Know When They Don’t Know.”

Foundation models from machine learning have enabled rapid advances in perception, planning, and natural language understanding for robots. However, current systems lack any rigorous assurances when required to generalize to novel scenarios. For example, perception systems can fail to identify or localize unfamiliar objects, and large language model (LLM)-based planners can hallucinate outputs that lead to unsafe outcomes when executed by robots. How can we rigorously quantify the uncertainty of machine learning components such that robots know when they don’t know and can act accordingly?

[ Carnegie Mellon University Robotics Institute ]

Research expeditions conducted at sea using a rotating gravity machine and microscope found that the Earth’s oceans may not be absorbing as much carbon as researchers have long thought.

Oceans are believed to absorb roughly 26 percent of global carbon dioxide emissions by drawing down CO₂ from the atmosphere and locking it away. In this system, CO₂ enters the ocean, where phytoplankton and other organisms consume about 70 percent of it. When these organisms eventually die, their soft, small structures sink to the bottom of the ocean in what looks like an underwater snowfall.

This “marine snow” pulls carbon away from the surface of the ocean and sequesters it in the depths for millennia, which enables the surface waters to draw down more CO₂ from the air. It’s one of Earth’s best natural carbon-removal systems. It’s so effective at keeping atmospheric CO₂ levels in check that many research groups are trying to enhance the process with geoengineering techniques.

But the new study, published on 11 October in Science, found that the sinking particles don’t fall to the ocean floor as quickly as researchers thought. Using a custom gravity machine that simulated marine snow’s native environment, the study’s authors observed that the particles produce mucus tails that act like parachutes, putting the brakes on their descent—sometimes even bringing them to a standstill.

The physical drag leaves carbon lingering in the upper hydrosphere, rather than being safely sequestered in deeper waters. Living organisms can then consume the marine snow particles and respire their carbon back into the sea. Ultimately, this impedes the rate at which the ocean draws down and sequesters additional CO₂ from the air.

The implications are grim: Scientists’ best estimates of how much CO₂ the Earth’s oceans sequester could be way off. “We’re talking roughly hundreds of gigatonnes of discrepancy if you don’t include these marine snow tails,” says Manu Prakash, a bioengineer at Stanford University and one of the paper’s authors. The work was conducted by researchers at Stanford, Rutgers University in New Jersey, and Woods Hole Oceanographic Institution in Massachusetts.

Oceans Absorb Less CO₂ Than Expected

Researchers for years have been developing numerical models to estimate marine carbon sequestration. Those models will need to be adjusted for the slower sinking speed of marine snow, Prakash says.

The findings also have implications for startups in the fledgling marine carbon geoengineering field. These companies use techniques such as ocean alkalinity enhancement to augment the ocean’s ability to sequester carbon. Their success depends, in part, on using numerical models to prove to investors and the public that their techniques work. But their estimates are only as good as the models they use, and the scientific community’s confidence in them.

“We’re talking roughly hundreds of gigatonnes of discrepancy if you don’t include these marine snow tails.” —Manu Prakash, Stanford University

The Stanford researchers made the discovery on an expedition off the coast of Maine. There, they collected marine samples by hanging traps from their boat 80 meters deep. After pulling up a sample, the researchers quickly analyzed the contents while still on board the ship using their wheel-shaped machine and microscope.

The researchers built a microscope with a spinning wheel that simulates marine snow falling through sea water over longer distances than would otherwise be practical.Prakash Lab/Stanford

The device simulates the organisms’ vertical travel over long distances. Samples go into a wheel about the size of a vintage film reel. The wheel spins constantly, allowing suspended marine-snow particles to sink while a camera captures their every move.

The apparatus adjusts for temperature, light, and pressure to emulate marine conditions. Computational tools assess flow around the sinking particles and custom software removes noise in the data from the ship’s vibrations. To accommodate for the tilt and roll of the ship, the researchers mounted the device on a two-axis gimbal.

Slower Marine Snow Reduces Carbon Sequestration

With this setup, the team observed that sinking marine snow generates an invisible halo-shaped comet tail made of viscoelastic transparent exopolymer—a mucus-like parachute. They discovered the invisible tail by adding small beads to the seawater sample in the wheel, and analyzing the way they flowed around the marine snow. “We found that the beads were stuck in something invisible trailing behind the sinking particles,” says Rahul Chajwa, a bioengineering postdoctoral fellow at Stanford.

The tail introduces drag and buoyancy, doubling the amount of time marine snow spends in the upper 100 meters of the ocean, the researchers concluded. “This is the sedimentation law we should be following,” says Prakash, who hopes to get the results into climate models.

The study will likely help models project carbon export—the process of transporting CO₂ from the atmosphere to the deep ocean, says Lennart Bach, a marine biochemist at the University of Tasmania in Australia, who was not involved with the research. “The methodology they developed is very exciting and it’s great to see new methods coming into this research field,” he says.

But Bach cautions against extrapolating the results too far. “I don’t think the study will change the numbers on carbon export as we know them right now,” because these numbers are derived from empirical methods that would have unknowingly included the effects of the mucus tail, he says.

Marine snow may be slowed by “parachutes” of mucus while sinking, potentially lowering the rate at which the global ocean can sequester carbon in the depths.Prakash Lab/Stanford

Prakash and his team came up with the idea for the microscope while conducting research on a human parasite that can travel dozens of meters. “We would make 5- to 10-meter-tall microscopes, and one day, while packing for a trip to Madagascar, I had this ‘aha’ moment,” says Prakash. “I was like: Why are we packing all these tubes? What if the two ends of these tubes were connected?”

The group turned their linear tube into a closed circular channel—a hamster wheel approach to observing microscopic particles. Over five expeditions at sea, the team further refined the microscope’s design and fluid mechanics to accommodate marine samples, often tackling the engineering while on the boat and adjusting for flooding and high seas.

In addition to the sedimentation physics of marine snow, the team also studies other plankton that may affect climate and carbon-cycle models. On a recent expedition off the coast of Northern California, the group discovered a cell with silica ballast that makes marine snow sink like a rock, Prakash says.

The crafty gravity machine is one of Prakash’s many frugal inventions, which include an origami-inspired paper microscope, or “foldscope,” that can be attached to a smartphone, and a paper-and-string biomedical centrifuge dubbed a “paperfuge.”

In 6G telecom research today, a crucial portion of wireless spectrum has been neglected: the Frequency Range 3, or FR3, band. The shortcoming is partly due to a lack of viable software and hardware platforms for studying this region of spectrum, ranging from approximately 6 to 24 gigahertz. But a new, open-source wireless research kit is changing that equation. And research conducted using that kit, presented last week at a leading industry conference, offers proof of viability of this spectrum band for future 6G networks.

In fact, it’s also arguably signaling a moment of telecom industry re-evaluation. The high-bandwidth 6G future, according to these folks, may not be entirely centered around difficult millimeter wave-based technologies. Instead, 6G may leave plenty of room for higher-bandwidth microwave spectrum tech that is ultimately more familiar and accessible.

The FR3 band is a region of microwave spectrum just shy of millimeter-wave frequencies (30 to 300 GHz). FR3 is also already very popular today for satellite Internet and military communications. For future 5G and 6G networks to share the FR3 band with incumbent players would require telecom networks nimble enough to perform regular, rapid-response spectrum-hopping.

Yet spectrum-hopping might still be an easier problem to solve than those posed by the inherent physical shortcomings of some portions of millimeter-wave spectrum—shortcomings that include limited range, poor penetration, line-of-sight operations, higher power requirements, and susceptibility to weather.

Pi-Radio’s New Face

Earlier this year, the Brooklyn, N.Y.-based startup Pi-Radio—a spinoff from New York University’s Tandon School of Engineering—released a wireless spectrum hardware and software kit for telecom research and development. Pi-Radio’s FR-3 is a software-defined radio system developed for the FR3 band specifically, says company co-founder Sundeep Rangan.

“Software-defined radio is basically a programmable platform to experiment and build any type of wireless technology,” says Rangan, who is also the associate director of NYU Wireless. “In the early stages when developing systems, all researchers need these.”

For instance, the Pi-Radio team presented one new research finding that infers direction to an FR3 antenna from measurements taken by a mobile Pi-Radio receiver—presented at the IEEE Signal Processing Society‘s Asilomar Conference on Signals, Systems and Computers in Pacific Grove, Calif. on 30 October.

According to Pi-Radio co-founder Marco Mezzavilla, who’s also an associate professor at the Polytechnic University of Milan, the early-stage FR3 research that the team presented at Asilomar will enable researchers “to capture [signal] propagation in these frequencies and will allow us to characterize it, understand it, and model it... And this is the first stepping stone towards designing future wireless systems at these frequencies.”

There’s a good reason researchers have recently rediscovered FR3, says Paolo Testolina, postdoctoral research fellow at Northeastern University’s Institute for the Wireless Internet of Things unaffiliated with the current research effort. “The current scarcity of spectrum for communications is driving operators and researchers to look in this band, where they believe it is possible to coexist with the current incumbents,” he says. “Spectrum sharing will be key in this band.”

Rangan notes that the work on which Pi-Radio was built has been published earlier this year both on the more foundational aspects of building networks in the FR3 band as well as the specific implementation of Pi-Radio’s unique, frequency-hopping research platform for future wireless networks. (Both papers were published in IEEE journals.)

“If you have frequency hopping, that means you can get systems that are resilient to blockage,” Rangan says. “But even, potentially, if it was attacked or compromised in any other way, this could actually open up a new type of dimension that we typically haven’t had in the cellular infrastructure.” The frequency-hopping that FR3 requires for wireless communications, in other words, could introduce a layer of hack-proofing that might potentially strengthen the overall network.

Complement, Not Replacement

The Pi-Radio team stresses, however, that FR3 would not supplant or supersede other new segments of wireless spectrum. There are, for instance, millimeter wave 5G deployments already underway today that will no doubt expand in scope and performance into the 6G future. That said, the ways that FR3 expand future 5G and 6G spectrum usage is an entirely unwritten chapter: Whether FR3 as a wireless spectrum band fizzles, or takes off, or finds a comfortable place somewhere in between depends in part on how it’s researched and developed now, the Pi-Radio team says.

“We’re at this tipping point where researchers and academics actually are empowered by the combination of this cutting-edge hardware with open-source software,” Mezzavilla says. “And that will enable the testing of new features for communications in these new frequency bands.” (Mezzavilla credits the National Telecommunications and Information Administration for recognizing the potential of FR3, and for funding the group’s research.)

By contrast, millimeter-wave 5G and 6G research has to date been bolstered, the team says, by the presence of a wide range of millimeter-wave software-defined radio (SDR) systems and other research platforms.

“Companies like Qualcomm, Samsung, Nokia, they actually had excellent millimeter wave development platforms,” Rangan says. “But they were in-house. And the effort it took to build one—an SDR at a university lab—was sort of insurmountable.”

So releasing an inexpensive open-source SDR in the FR3 band, Mezzavilla says, could jump start a whole new wave of 6G research.

“This is just the starting point,” Mezzavilla says. “From now on we’re going to build new features—new reference signals, new radio resource control signals, near-field operations... We’re ready to ship these yellow boxes to other academics around the world to test new features and test them quickly, before 6G is even remotely near us.”

This story was updated on 7 November 2024 to include detail about funding from the National Telecommunications and Information Administration.