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Author

G.-M. Rignanese

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Jul 2026

Familywise Feature Importance Stability in Chemical and Materials Machine Learning

This work compares 26 feature importance pipelines spanning data-driven, model-based, and formula-based analyses on a metal-support interaction data set anchored by an explicit SISSO equation, and examines whether the same qualitative behavior recurs in high-entropy-alloy and halide perovskite data sets.

Ruilin Lai, Xiao-Tong Liu, Yuhang Wang et al. · 1 citation
Open access Aug 2026

Artificial Intelligence for Advanced Functional Materials: Progress and Emerging Frontiers

This Perspective examines how recent advances in data‐driven modeling, high‐performance simulation, and autonomous experimentation are converging to accelerate the discovery of functional materials for next‐generation technologies—from energy storage and biomedicine to nanoelectronics and quantum devices.

Cristiano Malica, Kostya S. Novoselov, Seongmin Kim et al. · 0 citations

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