Toward cheaper, cleaner hydrogen production
Co-founded by Dan Sobek ’88, SM ’92, PhD ’97, 1s1 Energy has developed electrochemical cell materials for hydrogen electrolyzers that it says reduces energy use by 30 percent.
Co-founded by Dan Sobek ’88, SM ’92, PhD ’97, 1s1 Energy has developed electrochemical cell materials for hydrogen electrolyzers that it says reduces energy use by 30 percent.
MIT researchers developed a testing framework that pinpoints situations where AI decision-support systems are not treating people and communities fairly.
By quickly generating aesthetically accurate previews of fabricated objects, the VisiPrint system could make prototyping faster and less wasteful.
Computational biologist Sergei Kotelnikov is working to develop new methods in protein modeling as part of the School of Science Dean’s Postdoctoral Fellowship.
A new model measures defects that can be leveraged to improve materials’ mechanical strength, heat transfer, and energy-conversion efficiency.
Build for Ukraine 2.0 united students, researchers, and Ukrainian collaborators to prototype solutions shaped by wartime conditions.
Mariano Salcedo ’25, a master’s student in the new Music Technology and Computation Graduate Program, is designing an AI to visualize and express music and other sounds.
An AI model generates novel proteins based on how they vibrate and move, opening new possibilities for dynamic biomaterials and adaptive therapeutics.
The cells can survive in the body for at least three months, producing enough insulin to control blood sugar levels, research shows.
A backup survival pathway can help tumor cells resist certain lung cancer and other drugs. Combining therapies may offer a solution.
This new approach adapts to decide which robots should get the right of way at every moment, avoiding congestion and increasing throughput.
Sophia Henneberg, assistant professor in the Department of Nuclear Science and Engineering, is developing stellarators to harness fusion energy.
MIT Sea Grant works with the Woodwell Climate Research Center and other collaborators to demonstrate a deep learning-based system for fish monitoring.
New insights into metallic cracks that harm battery performance could advance the longstanding quest to develop energy-dense solid-state batteries.
The Institute also ranks second in seven subject areas.