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

Physicists measure a short-lived radioactive molecule for first time

Molecules containing heavy and deformed radioactive nuclei may help scientists to measure symmetry-violating phenomena and identify signs of dark matter.

Jennifer Chu | MIT News Office • mit
May 27, 2020 ~9 min

The force is strong in neutron stars

Study identifies a transition in the strong nuclear force that illuminates the structure of a neutron star’s core.

Jennifer Chu | MIT News Office • mit
Feb. 26, 2020 ~10 min

Is there dark matter at the center of the Milky Way?

A new analysis puts dark matter back in the game as a possible source of energy excess at the galactic center.

Jennifer Chu | MIT News Office • mit
Dec. 10, 2019 ~8 min

3Q: Scientists shave estimate of neutrino’s mass in half

Joseph Formaggio explains the discovery that the ghostly particle must be no more than 1 electronvolt, half as massive as previously thought.

Jennifer Chu | MIT News Office • mit
Sept. 16, 2019 ~6 min

Physicists design an experiment to pin down the origin of the elements

With help from next-generation particle accelerators, the approach may nail down the rate of oxygen production in the universe.

Jennifer Chu | MIT News Office • mit
Aug. 20, 2019 ~9 min

Boosting computing power for the future of particle physics

Prototype machine-learning technology co-developed by MIT scientists speeds processing by up to 175 times over traditional methods.

Laboratory for Nuclear Science • mit
Aug. 19, 2019 ~3 min

Data-mining for dark matter

Tracy Slatyer hunts through astrophysical data for clues to the invisible universe.

Jennifer Chu | MIT News Office • mit
Aug. 15, 2019 ~9 min

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