Machine Learning: A New Paradigm in Computational Electrocatalysis-Reference-Cited by-同舟云学术

Machine Learning: A New Paradigm in Computational Electrocatalysis

Published:2022-08-18 Issue:34 Volume:13 Page:7920-7930
ISSN:1948-7185
Container-title:The Journal of Physical Chemistry Letters
language:en
Short-container-title:J. Phys. Chem. Lett.

Author:

Zhang Xu¹,Tian Yun¹,Chen Letian²,Hu Xu²,Zhou Zhen¹²^ORCID

Affiliation:

1. School of Chemical Engineering, Zhengzhou University, Zhengzhou 450001, P. R. China

2. School of Materials Science and Engineering, Institute of New Energy Material Chemistry, Renewable Energy Conversion and Storage Center (ReCast), Key Laboratory of Advanced Energy Chemistry (Ministry of Education), Nankai University, Tianjin 300350, P. R. China

Funder

National Natural Science Foundation of China

Publisher

American Chemical Society (ACS)

Subject

General Materials Science,Physical and Theoretical Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.jpclett.2c01710

Reference89 articles.

1. Advanced Electrocatalysts with Single-Metal-Atom Active Sites

2. 2D Materials Bridging Experiments and Computations for Electro/Photocatalysis

3. Density functional theory studies of transition metal carbides and nitrides as electrocatalysts