AI helps chemists develop tougher plastics
Researchers created polymers that are more resistant to tearing by incorporating stress-responsive molecules identified by a machine-learning model.
Researchers created polymers that are more resistant to tearing by incorporating stress-responsive molecules identified by a machine-learning model.
By visualizing Escher-like optical illusions in 2.5 dimensions, the “Meschers” tool could help scientists understand physics-defying shapes and spark new designs.
AeroAstro professor and outgoing co-director of the Center for Computational Science and Engineering will play a vital role in fostering community for bilingual computing faculty.
MIT spinout Tissium recently secured FDA marketing authorization of a biopolymer platform for nerve repair.
Device Research Lab study uncovers mechanisms behind a phenomenon that can impact civil engineering, desalination, coatings, membrane design, art conservation, and more.
This new approach could lead to enhanced AI models for drug and materials discovery.
Groundbreaking MIT concert, featuring electronic and computer-generated music, was a part of the 2025 International Computer Music Conference.
The flexible chip could boost the performance of current electronics and meet the more stringent efficiency requirements of future 6G technologies.
An MIT study shows decreases in seed-dispersing animals can lead to a major reduction in forest carbon absorption.
The MIT community celebrates their fellow staff members’ talent and dedication to the Institute.
The platform identifies, mixes, and tests up to 700 new polymer blends a day for applications like protein stabilization, battery electrolytes, or drug-delivery materials.
The Lemelson-MIT program challenges student teams across the country to solve problems in their communities — and present their inventions at MIT.
Neural Jacobian Fields, developed by MIT CSAIL researchers, can learn to control any robot from a single camera, without any other sensors.
Combining powerful imaging, perturbational screening, and machine learning, researchers uncover new human host factors that alter Ebola’s ability to infect.
An oft-ignored effect can be used to probe an important property of semiconductors, a new study finds.