A PINN with learnable loss balancing and transfer learning predicts heat transfer in miniature heat sinks to under 8% error using only 87 data points, outperforming standard baselines.
arXiv preprint arXiv:1910.07648 , year=
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Physics-Informed Neural Networks with Learnable Loss Balancing and Transfer Learning
A PINN with learnable loss balancing and transfer learning predicts heat transfer in miniature heat sinks to under 8% error using only 87 data points, outperforming standard baselines.