Laboratory for Nuclear Science
Laboratory for Nuclear Science

Laboratory for Nuclear Science

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.

Artificial Intelligence Data Department of Energy (DoE) Faculty IDSS Laboratory for Nuclear Science Leadership National Science Foundation (NSF) Physics School of Science

Jesse Thaler named director of the Laboratory for Nuclear Science

The professor of physics and inaugural director of the NSF AI Institute for Artificial Intelligence and Fundamental Interactions will lead LNS and continue his research in particle physics.

Algorithms Artificial Intelligence Astronomy and astrophysics chemistry Computer science and technology Data Faculty IDSS Interview Laboratory for Nuclear Science machine learning Materials science and engineering Mathematics MIT Schwarzman College of Computing National Science Foundation (NSF) Physics Research School of Science

3 Questions: On the future of AI and the mathematical and physical sciences

Professor Jesse Thaler describes a vision for a two-way bridge between artificial intelligence and the mathematical and physical sciences — one that promises to advance both.

Artificial Intelligence Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology computer-vision Data Electrical Engineering & Computer Science (eecs) Laboratory for Nuclear Science machine learning MIT Schwarzman College of Computing Physics Research School of Engineering School of Science

From physics to generative AI: An AI model for advanced pattern generation

Inspired by physics, a new generative model PFGM++ outperforms diffusion models in image generation.

Algorithms Artificial Intelligence Astrophysics Center for Theoretical Physics Dark matter Diversity and inclusion Ethics Faculty Laboratory for Nuclear Science machine learning MLK visiting scholars Physics Profile Racism School of Science Social justice Space, astronomy and planetary science STEM education

Understanding our place in the universe

Martin Luther King Jr. Scholar Brian Nord trains machines to explore the cosmos and fights for equity in research.