arXiv Machine Learning June 11, 2026 By Mostafa Bamdad, Mohammad Sadegh Eshaghi, Timon Rabczuk

HAMNO: A Hierarchical Adaptive Multi-scale Neural Operator with Physics-Informed Learning for Dynamical Systems

Read the original on arXiv Machine Learning →

arXiv:2606. 11963v1 Announce Type: new Abstract: Neural operators provide a powerful framework for learning solution mappings of partial differential equations directly in function space.

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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