Physics-Informed Neural Networks for Heat Transfer Problems

Short summary

Physics-informed neural networks (PINNs) can solve complex heat transfer problems, including those with unknown boundary conditions and phase changes, by simultaneously fitting sparse data and enforcing physical laws via automatic differentiation.

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