Sensing and controlling microscopic spin density in materials
By fine-tuning the spin density in some materials, researchers may be able to develop new quantum sensors or quantum simulations.
By fine-tuning the spin density in some materials, researchers may be able to develop new quantum sensors or quantum simulations.
Researchers develop a machine-learning technique that can efficiently learn to control a robot, leading to better performance with fewer data.
Researchers discover how to control the anomalous Hall effect and Berry curvature to create flexible quantum magnets for use in computers, robotics, and sensors.
Mathias Kolle’s color-changing materials take inspiration from butterflies and mollusks.
The color changes reflect significant shifts in essential marine ecosystems.
The images shed light on how electrons form superconducting pairs that glide through materials without friction.
Work could lead to heady applications in novel electronics and more.
Ranking at the top for the 12th year in a row, the Institute also places first in 11 subject areas.
The results could help turn up unconventional superconducting materials.
New research explores how Dyson maps are putting quantum computers to work in designing fusion energy devices.
Award recognizes scholars who have the “extraordinary creativity necessary to tackle problems others can’t solve.”
Over more than 50 years at MIT, he made fundamental contributions to quantum field theory and discovered topological and geometric phenomena.
After the James Webb Space Telescope’s first year in service, astronomers are awash in new observations that illuminate the oldest stars and galaxies.
Recipients Luis Antonio Benítez, Carolina Cuesta-Lazaro, and Fernando Romero López receive support for their scientific research.
Physicist Daniel Harlow explores an alternate quantum reality in search of fundamental truths to our physical universe.