Researchers use AI and lasers to probe matter (opens in new tab)

Researchers at GSI/FAIR and international collaborators developed a machine-learning model to study how heavy elements form during violent astrophysical events, including neutron star mergers. The team incorporated a deep-learning neural network into hydrodynamic simulations to model energy released during r-process nucleosynthesis, according to findings published in Physical Review D. A separate materials-science report said scientists used lasers to make atoms vibrate trillions of times per...