A new study published in Nature Communications shows, for the first time, how heat moves—or rather, doesn’t—between materials in a high-energy-density plasma state.
The work is expected to provide a better understanding of inertial confinement fusion experiments, which aim to reliably achieve fusion ignition on Earth using lasers. How heat flows between a hot plasma and a material’s surface is also important in other technologies, including semiconductor etching and vehicles that fly at hypersonic speeds.
High-energy-density plasmas are produced only at extreme pressures and temperatures. The study shows that interfacial thermal resistance, a phenomenon known to impede heat transfer in less extreme conditions, also prevents heat flow between different materials in a dense, super–hot plasma state.
Interdisciplinary teams across the Quantum Systems Accelerator (QSA) are using innovative approaches to push the boundaries of superconducting qubit technology, bridging the gap between today’s NISQ (Noisy Intermediate-Scale Quantum) systems and future fault-tolerant systems capable of impactful science applications.
QSA is one of the five United States Department of Energy National Quantum Information Science (QIS) Research Centers, bringing together leading pioneers in quantum information science (QIS) and engineering across 15 partner institutions.
A superconducting qubit is made from superconducting materials such as aluminum or niobium, which exhibit quantum effects when cooled to very low temperatures (typically around 20 millikelvins, or −273.13° C). Numerous technology companies and research teams across universities and national laboratories are leveraging superconducting qubits for prototype scientific computing in this rapidly growing field.
Tesla is ramping up production of its Semi trucks to 50,000 units annually by 2026, while enhancing performance, charging infrastructure, and electrification solutions to support the transition from diesel ## ## Questions to inspire discussion ## Production and Delivery.
🏭 Q: When will Tesla Semi production and deliveries begin? A: Tesla Semi customer deliveries will start in 2026, with production ramping throughout the year to reach a goal of 50,000 units/year at the Nevada plant.
🚚 Q: What are the key features of the new Tesla Semi? A: The Tesla Semi offers 500 mile long range and 300 mile standard range options, with improved mirror design, better sight lines, enhanced aerodynamics, and drop glass for easier driver interaction. Technology and Efficiency.
🔋 Q: How does the new HP battery improve the Tesla Semi? A: The new HP battery is cheaper to manufacture, maintains the same range with less battery energy, and achieves over 7% efficiency improvements, creating a positive feedback loop for cost and weight reduction.
⚡ Q: What is the e-PTO feature in the Tesla Semi? A: The electric power takeoff (EPTO) enables support for longer combinations, more trailer equipment, and helps electrify additional pieces of equipment, facilitating broader industry transition to electric solutions. Charging Infrastructure.
🔌 Q: What charging solutions is Tesla developing for the Semi? A: Tesla is building a publicly available charging network with 46 sites along truck routes and in major industrial areas, including stations at truck stops, to ensure low-cost, reliable, and available charging for every semi.
For decades, neuroscientists have developed mathematical frameworks to explain how brain activity drives behavior in predictable, repetitive scenarios, such as while playing a game. These algorithms have not only described brain cell activity with remarkable precision but also helped develop artificial intelligence with superhuman achievements in specific tasks, such as playing Atari or Go.
Yet these frameworks fall short of capturing the essence of human and animal behavior: our extraordinary ability to generalize, infer and adapt. Our study, published in Nature late last year, provides insights into how brain cells in mice enable this more complex, intelligent behavior.
Unlike machines, humans and animals can flexibly navigate new challenges. Every day, we solve new problems by generalizing from our knowledge or drawing from our experiences. We cook new recipes, meet new people, take a new path—and we can imagine the aftermath of entirely novel choices.
Acetylome and proteome data analysis across 107 mammalian species identifies significant longevity-associated acetylated lysines. This study proposes a link between protein acetylation conservation and changes in mammalian longevity during evolution.
Scientists at the University of East Anglia (UEA) have developed a new way of uncovering the “true age” of a heart using MRI.
Research accepted for publication European Heart Journal Open shows how an MRI scan can reveal your heart’s functional age—and how unhealthy lifestyles can dramatically accelerate this figure. The paper is titled “Cardiac MRI Markers of Ageing: A Multicentre, Cross-sectional Cohort Study.”
It is hoped that the findings could transform how heart disease is diagnosed—offering a lifeline to millions by catching problems before they become deadly.
Breakthrough light-powered chip speeds up AI training and reduces energy consumption.
Engineers at Penn have developed the first programmable chip capable of training nonlinear neural networks using light—a major breakthrough that could significantly accelerate AI training, lower energy consumption, and potentially lead to fully light-powered computing systems.
Unlike conventional AI chips that rely on electricity, this new chip is photonic, meaning it performs calculations using beams of light. Published in Nature Photonics.
The duplication and division of cells is critical to keeping all multicellular organisms alive. But the opposite process is equally important: cell death. Controlled death of cells, or programmed cell death, is also necessary for the proper development and function of the body. It has also been a focus of researchers developing treatments for cancer by finding ways to activate the cell death of cancer cells themselves.
Ferroptosis is a recently discovered form of programmed cell death and has been a promising target for the development of cancer treatments. It is mediated by iron molecules, with the cell dying through the degradation of the phospholipid bilayer by oxidation, a process called lipid peroxidation. However, recent studies have shown that certain cancer cells are less susceptible to ferroptosis, raising concerns that this resistance could pose a barrier to future therapeutics.
In a paper published in Nature Communications, researchers from Kyushu University, using cultured cells and mice, found that the lipid peroxidation of the lysosomes—the organelle responsible for degrading and recycling molecules in a cell—plays a critical role in the execution of ferroptosis.
