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.
· Journal of Environmental Man... · 0 citations