Predicting material properties remains a major challenge in materials science, as it often requires complex and computationally intensive calculations. In particular, understanding how materials ...
Weather forecasting is another aspect of modern life that artificial intelligence is transforming. Models like GraphCast, ...
A new study in Science Advances finds that physics-based weather models outperform leading AI systems when predicting ...
Electrochemical impedance spectroscopy (EIS) provides valuable insights into the physical processes within batteries – but how can these measurements directly inform physics-based models? In this ...
Harvard University physicists have developed a simplified, physics-inspired mathematical model to better understand how neural networks learn. Published in the Journal of Statistical Mechanics, the ...
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