Learned SUPG stabilization parameters and adaptive indicator functions improve FastVPINNs L2 accuracy on two convection-dominated benchmarks.
Scientific machine learning through physics-informed neural networks: where we are and what's next
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Improving hp-Variational Physics-Informed Neural Networks for Steady-State Convection-Dominated Problems
Learned SUPG stabilization parameters and adaptive indicator functions improve FastVPINNs L2 accuracy on two convection-dominated benchmarks.