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Lidong Wang

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Aug 2026

Interpretable machine learning for predicting gaseous arsenic adsorption by metal oxides and identifying influential descriptors.

A database of 280 experimental records and 20 descriptors was compiled to predict adsorption capacity and interpret descriptor-performance relationships, and the framework supports interpretable prediction and hypothesis generation for gaseous arsenic adsorption by metal oxides.

Yanhong Zhu, Qi Liu, Shuang-Chun Wen et al. · 0 citations

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