HIGHLIGHTS
- who: Chemistry-Methods, and Full, Papers from the (UNIVERSITY) have published the research: Active Learning Training Strategy for Predicting O Adsorption Free Energy on Perovskite Catalysts using Inexpensive Catalyst Features, in the Journal: (JOURNAL)
- what: The authors propose LMTO[9] based geometric features for catalysts that can be extended to materials beyond intermetallics. Another stud uses genetic algorithm in symbolic regression to identify empirical relations for accurately predicting activity of perovskites, although, the approach is limited to the knowledge presented in their training set. The authors develop more accurate prediction models for a range of . . .
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