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cond-mat.mtrl-sci2026
Interpretable Material Spatial Intelligence for Discovery of Governing Microstructural Features
Mathieu Calvat, Gregory Sparks, Dhruv Anjaria +9
Many material systems exhibit complex spatial and temporal interactions across multiple length scales and modalities that govern macroscopic behavior. Although Machine Learning (ML…
cond-mat.mtrl-sci2026
Thermodynamic Modeling of Pure Elements from 0 K with Uncertainty Quantification using PyCalphad and ESPEI
Alexander Richter, Abdulmonem Obaied, Irina Roslyakova +3
Thermodynamic modeling of pure elements is the foundation of the CALPHAD modeling of engineering materials. Recently, multiple physics-based models have been proposed to describe G…