Helping to make nuclear fusion a reality
MIT PhD student Rachel Bielajew is taking on plasma turbulence, and helping make a better world — through science and community action.
MIT PhD student Rachel Bielajew is taking on plasma turbulence, and helping make a better world — through science and community action.
Computational modeling shows that both our ears and our environment influence how we hear.
Mechanical engineers are using cutting-edge computing techniques to re-imagine how the products, systems, and infrastructures we use are designed.
Professor Bilge Yildiz finds patterns in the behavior of ions across applications.
By incorporating the scattering of RF waves into fusion simulations, MIT physicists improve heating and current drive predictions for fusion plasmas.
“In astrophysics, we have only this one universe which we can observe,” the physics professor says. “With a computer, we can create different universes, which we can check.”
Neuroscientists find the internal workings of next-word prediction models resemble those of language-processing centers in the brain.
The researchers hope scientists and regulators will consider a broader class of compounds in evaluating cancer risk due to PAH exposure.
The results provide a blueprint for finding such systems in the universe’s quieter, emptier regions.
MIT offers over 120 undergraduate classes related to sustainability, a sign of growing student and faculty interest in the environmental impacts of their fields.
New algorithm could enable fast, nimble drones for time-critical operations such as search and rescue.
Probabilistic programming language allows for fast, error-free answers to hard AI problems, including fairness.
Applied in the field, a new model reduced quakes from oil and gas processes; could help manage seismic events from carbon sequestration.
With MIGHTR, PhD student W. Robb Stewart aims to speed construction of new nuclear plants to help decarbonize the economy.
Graduate student Ellen Zhong helped biologists and mathematicians reach across departmental lines to address a longstanding problem in electron microscopy.