Modified PINNs using bounded sigmoid activation, log-scale MSE loss, and added conservation terms recover Marshak wave dynamics matching Implicit Monte Carlo reference solutions.
Continuous and discontinuous compressible flows in a converging–diverging channel solved by physics-informed neural networks without exogenous data,
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Physics-Informed Neural Networks for coupled stiff transport systems
Modified PINNs using bounded sigmoid activation, log-scale MSE loss, and added conservation terms recover Marshak wave dynamics matching Implicit Monte Carlo reference solutions.