A geometry-aware input layer that feeds networks the logarithmically mapped eigenvalues and eigenvectors of SPD material tensors beats plain MLPs in surrogate modeling of stochastic anisotropic heat conduction.
Stochastic Finite Element Analysis Framework for Mod- elling Mechanical Properties of Particulate Modified Polymer Composites,
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Constitutive Manifold Neural Networks
A geometry-aware input layer that feeds networks the logarithmically mapped eigenvalues and eigenvectors of SPD material tensors beats plain MLPs in surrogate modeling of stochastic anisotropic heat conduction.