Asteroid grains shed light on the outer solar system’s origins
A weak magnetic field likely pulled matter inward to form the outer planetary bodies, from Jupiter to Neptune.
A weak magnetic field likely pulled matter inward to form the outer planetary bodies, from Jupiter to Neptune.
A lauded professor, theoretical physicist, and fusion scientist, Loureiro is keenly positioned to advance the center’s research and education goals.
Detailed study of magnets built by MIT and Commonwealth Fusion Systems confirms they meet requirements for an economic, compact fusion power plant.
A newly discovered type of electronic behavior could help with packing more data into magnetic memory devices.
Researchers discover how to control the anomalous Hall effect and Berry curvature to create flexible quantum magnets for use in computers, robotics, and sensors.
New soft-bodied robots that can be controlled by a simple magnetic field are well suited to work in confined spaces.
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.