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cond-mat.mtrl-sci2026
Unveiling the Core of Materials Properties via SISSO and Sensitivity Analysis
Lucas Foppa, Matthias Scheffler
Interpretable AI can reveal physical principles governing intricate materials properties by uncovering explicit relationships between physical parameters and target properties. The…
cond-mat.mtrl-sci2026
A Critical Examination of Active Learning Workflows in Materials Science
Akhil S. Nair, Lucas Foppa
Active learning (AL) plays a critical role in materials science, enabling applications such as the construction of machine-learning interatomic potentials for atomistic simulations…