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Autor:
Zubov, Kirill, McCarthy, Zoe, Ma, Yingbo, Calisto, Francesco, Pagliarino, Valerio, Azeglio, Simone, Bottero, Luca, Luján, Emmanuel, Sulzer, Valentin, Bharambe, Ashutosh, Vinchhi, Nand, Balakrishnan, Kaushik, Upadhyay, Devesh, Rackauckas, Chris
Physics-informed neural networks (PINNs) are an increasingly powerful way to solve partial differential equations, generate digital twins, and create neural surrogates of physical models. In this manuscript we detail the inner workings of NeuralPDE.j
Externí odkaz:
http://arxiv.org/abs/2107.09443