AI RESEARCH
Unsupervised simulation of incompressible flows with physics- and equality- constrained artificial neural networks
arXiv CS.LG
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ArXi:2511.18820v2 Announce Type: replace-cross Physics-informed neural networks (PINNs) have shown promise for solving partial differential equations, yet their success in simulating incompressible flows at high Reynolds numbers remains limited. Existing approaches rely on auxiliary labeled data, supervised pre