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.
Digital mapping of GlobalSoilMap soil properties at a broad scale: A review,
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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.