physics-informed learning
PulseAugur coverage of physics-informed learning — every cluster mentioning physics-informed learning across labs, papers, and developer communities, ranked by signal.
2 day(s) with sentiment data
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New AI frameworks enhance battery health diagnostics and design
Researchers have developed two novel approaches to improve battery health diagnostics and design. The first, RoSIP-Batt, uses a physics-guided Transformer network to jointly predict State of Health (SOH) and Remaining U…
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AI revolutionizes nanoparticle electron microscopy for scientific inference
A new review paper details the significant advancements of artificial intelligence (AI) in nanoparticle electron microscopy. The paper highlights how AI, particularly machine learning and deep learning techniques, is ev…
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New Koopman-PINN framework enhances epidemic modeling and forecasting
Researchers have developed a new framework called Koopman-PINN that combines Koopman operator theory with physics-informed neural networks for improved epidemic modeling. This approach maps epidemic states into a latent…