Plasma Science and Fusion Center
Plasma Science and Fusion Center

Plasma Science and Fusion Center

Administration Artificial Intelligence Center for Computational Science and Engineering Chemical engineering Department of Energy (DoE) EAPS Faculty Funding Industry Laboratory for Nuclear Science Manufacturing Mathematics Mechanical engineering Nuclear science and engineering Physics Plasma Science and Fusion Center Quantum Computing Research Laboratory of Electronics School of Engineering School of Science

MIT projects selected for funding under US Department of Energy’s Genesis Mission

Initial research projects advance national priorities across natural resources, manufacturing, nuclear physics, and more.

Aeronautical and astronautical engineering Artificial Intelligence Computer modeling Energy Fluid dynamics Fusion Laboratory for Information and Decision Systems (LIDS) machine learning MIT Schwarzman College of Computing Nuclear power and reactors Plasma Science and Fusion Center Renewable energy Research School of Engineering Sustainability

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.

Alternative energy Artificial Intelligence Collaboration Data Department of Energy (DoE) Diversity and inclusion Energy Funding Fusion machine learning Nuclear science and engineering open source Physics Plasma Science and Fusion Center Renewable energy Research School of Engineering School of Science Software Women in STEM

Fast-tracking fusion energy’s arrival with AI and accessibility

MIT Plasma Science and Fusion Center will receive DoE support to improve access to fusion data and increase workforce diversity.