This page shows the most relevant public items for Physics-Informed AI, ranked by trend activity and review signal. Use weekly for fast changes, monthly for more stable patterns, and all-time for evergreen picks.
Paper • Feb 16, 2022 • Nature • Jonas Degrave, Federico Felici, Jonas Buchli, Martin Neunert, Brendan Tracey, Francesco Carpanese, Timo Ewalds, Roland Jung, Abbas Abdolmaleki, Demis Hassabis, Martin Riedmiller
Nuclear fusion represents a clean, virtually limitless energy source, but sustaining the necessary plasma states inside a tokamak reactor requires complex, high-frequency magnetic control. Traditio...
Paper • Nov 14, 2023 • Science • Remi Lam, Alvaro Sanchez-Gonzalez, Matthew Willson, Peter Wirnsberger, Meire Fortunato, Alexander Alet, Suman Ravuri, Timo Ewalds, Zachary Eaton-Rosen, Weihua Hu, Alexander Merose, Stephan Hoyer, George Holland, Jacklynn Stott, Oriol Vinyals, Shakir Mohamed, Peter Battaglia
Global medium-range weather forecasting has long been dominated by massive, compute-intensive numerical weather prediction (NWP) models governed by atmospheric physics equations. We present GraphCa...
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