arXiv Machine Learning July 28, 2026 By Cheng Jing, Uvini Balasuriya Mudiyanselage, Abhishek Verma, Kallol Bera, Shahid Rauf, Kookjin Lee

Extending Fourier Neural Operators for Modeling Parameterized and Coupled PDEs

Read the original on arXiv Machine Learning →

arXiv:2607. 23466v1 Announce Type: new Abstract: Parameterized and coupled partial differential equations (PDEs) are central to modeling phenomena in science and engineering, yet neural operator methods that address both aspects remain limited.

Summary generated by The Flow from the publisher's feed. The full article lives at arXiv Machine Learning.

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