MIT researchers are testing a simplified turbulence theory’s ability to model complex plasma phenomena using a novel machine-learning technique.
The rechargeable battery can be woven and washed, and could provide power for fiber-based electronic devices and sensors.
Mathematical simulations show the new approach may offer faster, cheaper, and more accurate detection, including identifying new variants.
By incorporating the scattering of RF waves into fusion simulations, MIT physicists improve heating and current drive predictions for fusion plasmas.
Awards support research to improve the efficiency, scalability, and adoption of clean energy technologies.
Honor recognizes professors who went the extra mile advising during the pandemic’s disruptions.
APS names Bourouiba, Grego, Liu, Peacock, Winslow, and Yildiz as MIT’s newest fellows for their contributions to physics.
PhD student Limiao Zhang sees surprising connections between the behavior of cars and bubbles.