When Radha Mastandrea started her undergraduate physics program at MIT in 2015, she knew she was going to need some new computing skills. As she made her way through her coursework, she took a class ...

In a paper published this week in Physics of Fluids, ... Reconstruction of tropical cyclone boundary layer wind field using physics-informed machine learning. Physics of Fluids, 2024 DOI: 10.1063 ...

In the paper, published in Nature Communications, PPPL researchers lay out how they used machine learning to avoid magnetic perturbations, or disruptions, which destabilize fusion plasma.

Combining concepts from statistical physics with machine learning, researchers at the University of Bayreuth have shown that highly accurate and efficient predictions can now be made as to whether ...

With work on machine learning that uses artificial neural networks, John J. Hopfield and Geoffrey E. Hinton “showed a completely new way for us to use computers,” the committee said.