Shuang-chun Wen

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

Identifying descriptors associated with gaseous arsenic adsorption by metal oxides remains challenging because literature data are heterogeneous and incomplete. A database of 280 experimental records and 20 descriptors from 17 studies was compiled to predict adsorption capacity and interpret descriptor-performance rela...