Tackling multiphysics problems via finite element guided physics-informed operator learning

Yusuke Yamazaki

doi:10.1016/j.rineng.2026.112132

Tackling multiphysics problems via finite element guided physics-informed operator learning

2026-07-23

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DOI：10.1016/j.rineng.2026.112132

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Abstract

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• Finite element-based operator learning handles multiphysics problems. • The framework supports multiple neural operator backbones. • Accurate predictions are obtained for nonlinear coupled problems. • The approach addresses engineering-oriented heterogeneous material distributions. • The method scales to a complex 3D casting geometry in multiphysics settings.

Keywords:

Multiphysics problem

Parameterized PDEs

Physics–informed operator learning

Tackling multiphysics problems via finite element guided physics-informed operator learning

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