AI RESEARCH
WINO: A Weak-Form Physics Informed Neural Operator for Hyperelasticity on Variable Domains
arXiv CS.LG
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ArXi:2605.24651v1 Announce Type: cross We propose a Weak-form Physics-Informed Neural Operator (WINO), a data-free framework that combines the efficiency of neural operators with the geometric flexibility of the $\varphi$-finite element method ($\varphi$-FEM). $\varphi$-FEM is an unfitted method that accommodates geometric variations without body-fitted meshes, where the domain geometry is represented by the level-set function $\varphi