PPPL researchers have identified why fusion plasma creates its own intense magnetic fields, providing a tool to improve fusion reactor design.
Research and development of fusion energy has recently gained a strong impetus from private investment. While less of a proliferation risk than conventional fission systems, modified fusion systems could produce material usable in nuclear weapons. This paper examines an innovative use of antineutrino detectors to find misuse of fusion systems. Since antineutrinos are so penetrating, this technique carries near-zero interference with fusion energy system operation.
Buildings account for 30–40 percent of global energy expenditure and more than half of global electricity consumption. But the most advanced smart buildings—those with full automation, AI controls, and on-site generation—can achieve energy reductions of 50–70 percent. Scaled across the built environment, that translates to 60–110 exajoules of energy saved per year—that’s more than the entire current energy consumption of the United States, or the total output of all the world’s nuclear power plants combined.
Transforming the buildings we already live and work in to become a part of the system itself that generates, stores, and manages energy efficiently could be the blueprint for the future of energy use, creation, and management.
Quantum computing, once only a theoretical possibility, promises to deliver faster, more energy-efficient computers—but only if scientists can build and scale the hardware needed to run the machines. New research from Virginia Commonwealth University brings scientists one small step closer to quantum computing at a practical scale, which could help dramatically reduce energy usage and computing times in some industries.
In the study, recently published in Nature Communications, the researchers used minuscule magnets—twice as small as the wavelength of light—to create the building blocks of quantum computing, pioneering a technique that could decrease the physical space needed to create a viable quantum computer.
“This work has the potential to advance quantum computing,” said Jayasimha Atulasimha, Ph.D., a professor of mechanical and nuclear engineering in VCU’s College of Engineering and the study’s principal investigator. “We’re solving a specific problem for spin-based quantum computing, which has the potential for scaling.”
When hydrogen gas interacts with uranium metal, the combination creates a chemically reactive powder and a runaway reaction that is difficult to stop. The result can impact the safety and lifespan of technology critical for fusion energy, hydrogen storage and nuclear fuels.
In a recent study published in npj Materials Degradation, researchers from Lawrence Livermore National Laboratory (LLNL) observed and characterized the beginning stages of hydrogen-uranium corrosion for the first time. The result will lead to more predictive and physically grounded models for how uranium components degrade.
Imagine the hydrogen-uranium interaction like a geyser. Much like surface water seeping through cracks to make its way underground, hydrogen dissolves and diffuses into the uranium metal. This happens silently and invisibly until it becomes too much hydrogen for the uranium to hold. The two materials combine to form a new compound called uranium hydride, which takes up significantly more volume than the original uranium metal.
Researchers at the Helmholtz-Zentrum Dresden-Rossendorf (HZDR) have developed a new procedure, enabling them to speed up elaborate computer simulations that analyze matter under extreme conditions. In particular, this work improves the evaluation of experiments at large-scale research facilities like the European XFEL—and should facilitate substantial progress, among others, in fusion research and laboratory astrophysics.
The team presented the results in the journal npj Computational Materials.
Sometimes, matter is present in extreme states—such as in stars or in the interior of gas giants where enormous pressures and temperatures prevail. Such conditions can also be produced in the lab, in laser fusion experiments, for instance. In order to understand precisely what happens, researchers use X-ray scattering—as at the European XFEL near Hamburg.
Standardizing calculations of the helium byproducts generated in advanced fission and fusion energy system materials can increase reactor safety and longevity, according to a study led by University of Michigan Engineering with collaborators at Oak Ridge National Laboratory and its management contractor UT-Battelle.
Through a series of simulations, the researchers found that modeling assumptions and key alloy elements—like carbon, nitrogen and nickel—significantly influence helium generation predictions. If left unaddressed, excess helium in real-world reactors could lead to faster component failure as materials swell and become brittle.
“If used, our reporting methods will improve the experimental and modeling fidelity of the nuclear materials databases being generated both domestically and internationally, driving the rapid deployment of advanced nuclear,” said Kevin Field, a professor of nuclear engineering and radiological sciences at U-M and corresponding author of the study published in the Journal of Physics: Energy.
In October 2024, the US Department of Energy (DOE) — under the Joe Biden administration — opened applications for funding to support the initial domestic deployment of Generation III+ small modular reactor (SMR) technologies, with up to USD800 million to go to two “first-mover” teams, with an additional USD100 million to address so-called gaps that have hindered plant deployments. According to the solicitation documentation, a Gen III+ SMR is defined as a nuclear fission reactor that uses light water as a coolant and low-enriched uranium fuel, with a single-unit net electrical power output of 50–350 MWe, that maximises factory fabrication approaches, and the same or improved safety, security, and environmental benefits compared with current large nuclear power plant designs.
The solicitation was re-issued by the DOE in March 2025 to better align with President Donald Trump’s agenda on unleashing American energy and AI dominance.
In December last year, the DOE selected Tennessee Valley Authority (TVA) and Holtec Government Services to each receive USD400 million in federal cost-shared funding to support early deployments of advanced light-water small modular reactors in the USA. TVA’s application was selected for funding to accelerate the deployment of a GE Vernova Hitachi BWRX-300 at its Clinch River site in East Tennessee. Holtec plans to deploy two SMR-300 reactors — named Pioneer 1 and 2 — at the Palisades Nuclear Generating Station site in Michigan.
When physicists fire beams of fast electrons at materials, they often need to know exactly how much energy those electrons will lose as they travel through. Through new research published in Physical Review Letters, a team led by Ke Jiang at Shenzhen Technology University in China has found that porous, mostly empty foam materials can stop high-current electron beams far more effectively than denser materials—overturning many previous assumptions about how these beams interact with solid materials.
When a beam of electrons travels through a solid, its energy is lost through collisions with the atoms and electrons already present in the material. But when electron beams carry extremely intense currents, driving electrons to travel close to the speed of light, individual collisions are no longer the dominant factor.
Instead, the beam generates powerful electromagnetic fields as it moves, which shape how the beam propagates and loses energy. In fields ranging from nuclear fusion to studies of planetary interiors, it is often crucial for physicists to manage this energy loss as tightly as possible.