Author

Yang Yang

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Aug 2026

Quantifying Categorical Catalyst Descriptors for CO2 Methanation Design via CatBoost-Based Interpretable Machine Learning

An interpretable Categorical Boosting model using native categorical encoding (CatBoost-NCE) was applied to a dataset containing 4026 experimental entries and provides a reliable tool for the data-driven discovery of heterogeneous catalysts.

Peixuan Xue, Ying Liu, Jiageng Xia et al. · ACS Catalysis · 0 citations