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R. Maity

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#machine learning Mar 2026

Deflation-PINNs: Learning Multiple Solutions for PDEs and Landau-de Gennes

The results show that Deflation-PINNs can successfully identify and characterize multiple distinct crystal structures: a single unsupervised run recovers all six stable states of the benchmark and the discovered branches are refined to percent-level accuracy.

Sean Disarò, R. Maity, Aras Bacho · arXiv.org · 0 citations