Tiny diamond rotor could improve protein studies
A new way of machining microscale rotors from diamond crystal can enable ultrasensitive NMR devices for probing proteins and other materials.
A new way of machining microscale rotors from diamond crystal can enable ultrasensitive NMR devices for probing proteins and other materials.
Work with skyrmions could have applications in future computers and more.
Joy Dunn ’08 helps solve the world’s greatest climate challenges while creating an open and equitable working environment.
Longtime MIT researcher and former associate director of the Plasma Science and Fusion Center contributed to fusion energy progress on campus and around the world.
New results from researchers at MIT reveal an unexpected feature of atomic nuclei when a “magic” number of neutrons is reached.
In a residency supported by the Department of Energy, the MIT PhD candidate will explore the high-field side of the DIII-D tokamak.
By studying the dynamics of plasma turbulence, MIT researchers are helping to solve one of the mysteries of the origins of cosmological magnetic fields.
New five-year agreement will support SPARC science, increase graduate students and postdocs, and support interdisciplinary work toward fusion power plants.
Linking techniques from machine learning with advanced numerical simulations, MIT researchers take an important step in state-of-the-art predictions for fusion plasmas.
After four decades at the Plasma Science and Fusion Center, Deputy Director Martin Greenwald embodies a brief history of fusion at MIT.
Zoe Fisher's undergraduate research journey leads to a role working on the SPARC tokamak.
Research scientist Alex Tinguely oversees an antenna diagnostic used on the U.K.’s record-breaking fusion experiment.
Discovery shows for the first time that multiferroic properties can exist in a two-dimensional material; could lead to more efficient magnetic memory devices.
MIT researchers are testing a simplified turbulence theory’s ability to model complex plasma phenomena using a novel machine-learning technique.
MIT PhD student Rachel Bielajew is taking on plasma turbulence, and helping make a better world — through science and community action.