Physics-informed neural networks by Gradient-Guided Gaussian Adaptive Sampling (3GAS-PINNs)
Read the original at arxiv.org→arXiv:2609.09162v1 Announce Type: new Abstract: Physics-informed neural networks (PINNs) provide a mesh-free framework for solving partial differential equations, yet their performance in nonlinear problems is often...
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- Sep 10, 04:00 UTC arXiv cs.LG lead source Physics-informed neural networks by Gradient-Guided Gaussian Adaptive Sampling (3GAS-PINNs)