Distribution-based microstructure descriptors recover a two-dimensional latent manifold aligned with processing parameters in spinodal decomposition simulations, enabling invertible mappings.
Lenau,Physics-Informed Deep Learning Networks for Increased Accuracy and Reliability of Material Simulations
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Mapping Microstructure: Manifold Construction for Accelerated Materials Exploration
Distribution-based microstructure descriptors recover a two-dimensional latent manifold aligned with processing parameters in spinodal decomposition simulations, enabling invertible mappings.