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[WIS22] PINN: physics informed neural network to predict motion of 1D SHM

Posted 11 months ago
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POSTED BY: Shrey Arora
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POSTED BY: Moderation Team
Posted 5 months ago

This is absolutely amazing! I never thought to use finite difference methods inside the loss function to compute derivatives. I tried to build PINNs in WL in the past, but I gave up after realizing that WL's neural network library based on mxnet could not automatically compute higher-order derivatives like TensorFlow or PyTorch. Your approach appears to be a promising path forward.

POSTED BY: Alec Graves
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