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.

Rachel Gordon | MIT CSAIL • mit
Sept. 27, 2023 ~8 min

MIT researchers use quantum computing to observe entanglement

Researchers at the Center for Theoretical Physics lead work on testing quantum gravity on a quantum processor.

Julia C. Keller | School of Science • mit
Dec. 1, 2022 ~7 min


A new spin on nuclear magnetic moments

New results from researchers at MIT reveal an unexpected feature of atomic nuclei when a “magic” number of neutrons is reached.

Laboratory for Nuclear Science • mit
July 14, 2022 ~4 min

Scientists make first detection of exotic “X” particles in quark-gluon plasma

The findings could redefine the kinds of particles that were abundant in the early universe.

Jennifer Chu | MIT News Office • mit
Jan. 21, 2022 ~7 min

3 Questions: Investigating a long-standing neutrino mystery

Graduate student Nicholas Kamp describes the MicroBooNE experiment and its implications for our understanding of fundamental particles.

Laboratory for Nuclear Science • mit
Oct. 28, 2021 ~6 min

New clues to why there’s so little antimatter in the universe

Radioactive molecules are sensitive to subtle nuclear phenomena and might help physicists probe the violation of the most fundamental symmetries of nature.

Jennifer Chu | MIT News Office • mit
July 7, 2021 ~7 min

Physicists flip particle accelerator setup to gain a clearer view of atomic nuclei

Shooting beams of ions at proton clouds may help researchers map the inner workings of neutron stars.

Jennifer Chu | MIT News Office • mit
March 29, 2021 ~7 min

Pulling the secrets of dark matter out of a hat

Grad student Chiara Salemi and Professor Lindley Winslow use the ABRACADABRA instrument to reveal insights into dark matter.

Fernanda Ferreira | School of Science • mit
Dec. 2, 2020 ~9 min


Provably exact artificial intelligence for nuclear and particle physics

MIT-led team uses AI and machine learning to explore fundamental forces.

Sandi Miller | Department of Physics • mit
Sept. 24, 2020 ~7 min

Four MIT faculty members receive U.S. Department of Energy early career awards

Faculty from the departments of physics, chemical engineering, and mechanical engineering were selected for the 2020 Early Career Research Program.

School of Science • mit
July 15, 2020 ~10 min

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