Abstract
Data detailed on Machine Learning have been presented. According to news originating from Beijing, People's Republic of China, by NewsRx correspondents, research stated, "Mining the scientific literature, combined with data-driven methods, may assist in the identification of optimized catalysts. In this paper, we employed interpretable machine learning to discover ternary metal oxides capable of selective catalytic reduction of nitrogen oxides with ammonia (NH3-SCR)." Financial supporters for this research include National Natural Science Foundation of China (NSFC), Fundamental Research Funds for the Central Universities, University of Science and Technology Beijing, China Scholarship Council.
NETL
NSTL
Amer Chemical Soc