A new differentiable reconstruction method uses symmetrized hyperspherical harmonics on quaternions plus two- and three-point descriptors to generate 3D microstructures from 2D data, demonstrated on aluminum alloy with L-BFGS-B optimization.
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Direction-aware TDA descriptors, created by embedding the compression axis into filtrations, yield higher accuracy for Young's modulus prediction in porous materials than standard invariant descriptors.
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Generative reconstruction of 2D and 3D polycrystalline microstructures using symmetrized hyperspherical harmonics
A new differentiable reconstruction method uses symmetrized hyperspherical harmonics on quaternions plus two- and three-point descriptors to generate 3D microstructures from 2D data, demonstrated on aluminum alloy with L-BFGS-B optimization.
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Direction-aware topological descriptors for Young's modulus prediction in porous materials
Direction-aware TDA descriptors, created by embedding the compression axis into filtrations, yield higher accuracy for Young's modulus prediction in porous materials than standard invariant descriptors.