Prediction of Transition-State Energies of Hydrodeoxygenation Reactions on Transition-Metal Surfaces Based on Machine Learning

标题
Prediction of Transition-State Energies of Hydrodeoxygenation Reactions on Transition-Metal Surfaces Based on Machine Learning
作者
关键词
-
出版物
Journal of Physical Chemistry C
Volume 123, Issue 49, Pages 29804-29810
出版商
American Chemical Society (ACS)
发表日期
2019-11-14
DOI
10.1021/acs.jpcc.9b10507

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