Derivative-based sensitivity analysis resolves non-uniqueness in SISSO models and shows valence orbital radii, nuclear charges, and their products govern perovskite lattice constants.
Interpretability in symbolic regression: a benchmark of explanatory methods using the feynman data set.Genetic Programming and Evolvable Machines, 23(3):309–349, Sep 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.