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arXiv Machine Learning By Joseph Webb, Sadok Jerad, Coralia Cartis

An Optimisation Framework for the Well-Conditioned Training of Physics-Informed Neural Networks

Read the original on arXiv Machine Learning →

arXiv:2607. 02194v1 Announce Type: new Abstract: Physics-informed neural networks (PINNs) have emerged as a promising route to solve partial differential equations, yet they have struggled to reach the precision of classical solvers.

Machine-generated by The Flow from the publisher's headline and feed description — not written or checked by a human. The full article lives at arXiv Machine Learning.

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