New prediction model could improve the reliability of fusion power plants
Peer-Reviewed Publication
Updates every hour. Last Updated: 16-Dec-2025 00:11 ET (16-Dec-2025 05:11 GMT/UTC)
MIT scientists developed a method to predict how plasma in a tokamak fusion machine will behave during a rampdown, when the reactor’s plasma current is shut off. The research could improve the safety and reliability of future fusion power plants.
Artificial intelligence can solve problems at remarkable speed, but it’s the people developing the algorithms who are truly driving discovery. At The University of Texas at Arlington, data scientists are creating sophisticated formulas that enable AI to interpret massive biological datasets to uncover how diseases start, how the immune system responds, and what treatments might work best.
MIT engineers have developed a recipe for a printable aluminum alloy that can withstand high temperatures and is five times stronger than traditionally manufactured aluminum.
For years, researchers have puzzled over how the ancient people of Rapa Nui did the seemingly impossible and moved their iconic moai statues. Using a combination of physics, 3D modeling and on-the-ground experiments, a team including faculty at Binghamton University, State University of New York, has confirmed that the statues actually walked – with a little rope and remarkably few people.
A new research study led by Prahalada Rao shows that additive manufacturing and artificial intelligence promise more precision and less waste for much-needed submarine and aircraft components.
AMHERST, Mass. — Stopping early, failing to stop or rolling through—new research from University of Massachusetts Amherst reveals that more awareness of the rules of the road around this crosswalk design is necessary. Published in Transportation Research Record, the study looked at how Massachusetts drivers behave at pedestrian hybrid beacons, a type of crosswalk device increasingly found at mid-block crosswalks where there is not a full traffic signal.