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Can I read Unravelling the origin of bifunctional OER/ORR activity for single-atom catalysts supported on C2N by DFT and machine learning on EtoBox?
Unravelling the origin of bifunctional OER/ORR activity for single-atom catalysts supported on C2N by DFT and machine learning by Yiran Ying; Ke Fan; Xin Luo; Jinli Qiao; Haitao Huang is a Engineering article available to read on EtoBox.
What is Unravelling the origin of bifunctional OER/ORR activity for single-atom catalysts supported on C2N by DFT and machine learning about?
A group of bifunctional oxygen evolution/reduction reaction single-atom catalysts supported on C2N, is proposed. The origin of their high catalytic activity is elucidated by density functional theory calculations and machine learning modelling.
Who reads Unravelling the origin of bifunctional OER/ORR activity for single-atom catalysts supported on C2N by DFT and machine learning?
It is typically read by researchers, students, and practitioners in Engineering.
- Author
- Yiran Ying; Ke Fan; Xin Luo; Jinli Qiao; Haitao Huang
- Publisher
- Royal Society of Chemistry (RSC)
- Published
- 2021
- Language
- EN
- Field
- Engineering (Physical Sciences)
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