Uncovering new physics in metals manufacturing
MIT researchers discovered a hidden atomic order that persists in metals even after extreme processing.
Laurent Demanet appointed co-director of MIT Center for Computational Science and Engineering
Applied mathematics professor will join fellow co-director Nicolas Hadjiconstantinou in leading the cross-cutting center.
Fighting for the health of the planet with AI
Assistant Professor Priya Donti’s research applies machine learning to optimize renewable energy.
Printable aluminum alloy sets strength records, may enable lighter aircraft parts
Incorporating machine learning, MIT engineers developed a way to 3D print alloys that are much stronger than conventionally manufactured versions.
New prediction model could improve the reliability of fusion power plants
The approach combines physics and machine learning to avoid damaging disruptions when powering down tokamak fusion machines.
AI maps how a new antibiotic targets gut bacteria
MIT CSAIL and McMaster researchers used a generative AI model to reveal how a narrow-spectrum antibiotic attacks disease-causing bacteria, speeding up a process that normally takes years.
Secretary of Energy Chris Wright ’85 visits MIT
Panel discussions focused on innovation in many forms of energy, then a tour of campus featured student research.
A simple formula could guide the design of faster-charging, longer-lasting batteries
MIT researchers developed a model that explains lithium intercalation rates in lithium-ion batteries.
Accounting for uncertainty to help engineers design complex systems
The approach could enable autonomous vehicles, commercial aircraft, or transportation networks that are more reliable in the face of real-world unpredictability.
Concrete “battery” developed at MIT now packs 10 times the power
Improved carbon-cement supercapacitors could turn the concrete around us into massive energy storage systems.