Machine Learning-Accelerated Advancements in Electrocatalytic CO2 Reduction
- DOI
- 10.1021/acs.est.6c01703
- Published
- 2026-09-01
- Container
- Environmental Science & Technology
- Publisher
- American Chemical Society (ACS)
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1021/acs.est.6c01703,
title = {Machine
Learning-Accelerated
Advancements in Electrocatalytic
CO2 Reduction},
author = {Hao Wang and Junfeng Li and Yuquan Li and Zeqiu Chen and Xiaoyang Xuan and Hongxin Qi and Likun Pan},
year = {2026},
journal = {Environmental Science \&
Technology},
doi = {10.1021/acs.est.6c01703},
url = {https://doi.org/10.1021/acs.est.6c01703}
}RIS
TY - JOUR TI - Machine Learning-Accelerated Advancements in Electrocatalytic CO2 Reduction AU - Hao Wang AU - Junfeng Li AU - Yuquan Li AU - Zeqiu Chen AU - Xiaoyang Xuan AU - Hongxin Qi AU - Likun Pan PY - 2026 JO - Environmental Science & Technology DO - 10.1021/acs.est.6c01703 UR - https://doi.org/10.1021/acs.est.6c01703 ER -
APA
Wang, H., Li, J., Li, Y., Chen, Z., Xuan, X., Qi, H., & Pan, L. (2026). Machine Learning-Accelerated Advancements in Electrocatalytic CO2 Reduction. Environmental Science & Technology. https://doi.org/10.1021/acs.est.6c01703
Source records
- crossref · retrieved 2026-11-10T09:29:29.460Z