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About this paper
Xinyi Li, Xi Deng, Yubo Cao, Hudson Liu, Anima Anandkumar
M2S-NO optimizes explicit surface meshes for physics-driven design. It maps oriented mesh samples to a volumetric shell field, which a separate physics neural operator uses to predict physical outcomes; gradients update the mesh through both operators. Independent FEM evaluation gives a bracket displacement of 0.1532 mm, 14.3% below the dataset best, on a selected in-distribution task.
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