AI RESEARCH
Fast training of accurate physics-informed neural networks without gradient descent
arXiv CS.LG
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ArXi:2405.20836v3 Announce Type: replace-cross Solving time-dependent Partial Differential Equations (PDEs) is one of the most critical problems in computational science. While Physics-Informed Neural Networks (PINNs) offer a promising framework for approximating PDE solutions, their accuracy and