Derivative-based sensitivity analysis resolves non-uniqueness in SISSO models and shows valence orbital radii, nuclear charges, and their products govern perovskite lattice constants.
Improving symbolic regression for pre- dicting materials properties with iterative variable se- lection.Journal of Chemical Theory and Computation, 18(8):4945–4951, Aug 2022
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Unveiling the Core of Materials Properties via SISSO and Sensitivity Analysis
Derivative-based sensitivity analysis resolves non-uniqueness in SISSO models and shows valence orbital radii, nuclear charges, and their products govern perovskite lattice constants.