A self-supervised physics-informed neural network is claimed to estimate liquid sodium Nusselt numbers in miniature heat sinks to about 8% error, but the evidence for an advantage over plain neural networks is weak and the network's loss function is ambiguously defined.
A Review of Physics-Informed Machine Learning in Fluid Mechanics
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SPINN: An Optimal Self-Supervised Physics-Informed Neural Network Framework
A self-supervised physics-informed neural network is claimed to estimate liquid sodium Nusselt numbers in miniature heat sinks to about 8% error, but the evidence for an advantage over plain neural networks is weak and the network's loss function is ambiguously defined.