Ontology highlight
ABSTRACT:
SUBMITTER: Zheng A
PROVIDER: S-EPMC8637634 | biostudies-literature | 2021 Dec
REPOSITORIES: biostudies-literature
Zheng Anhui A Wang Yuxuan Y Zhang Fangfei F He Chunnian C Zhu Shan S Zhao Naiqin N
iScience 20211113 12
To achieve net-zero emissions, a particular interest has been raised in the electrochemical evolution of H<sub>2</sub> by using catalysts. Considering the complexity of designing catalyst, we demonstrate a data-driven strategy to develop optimized catalysts for H<sub>2</sub> evolution. This work starts by collecting data of Pt/carbon catalysts, and applying machine learning to reveal the importance of ranking various features. The algorithms reveal that the Pt content and Pt size have the greate ...[more]