Understanding and predicting complex physical systems remain significant challenges in scientific research and engineering. Machine learning models, while powerful, often fail to follow the ...

According to posts going viral on X, Facebook, Instagram, TikTok, and probably Friendster, The Simpsons predicted the ...

This letter introduces a novel physics-informed approach for neural network-based 3-D electromagnetic modeling. The proposed method combines standard leap-frog time-stepping with neural network-driven ...

With the development of machine learning, numerical analysis using neural networks has been devised. Remarkably, physics-informed neural networks (PINNs) enable physically consistent numerical ...

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A thermodynamics mystery dating back to 1905 has been resolved by University of Seville professor José María Martín-Olalla, who demonstrates that the Nernst theorem is inherently tied to the second ...