Correction: Screening of single-atom catalysts for CO<sub>2</sub> electroreduction to CH<sub>4</sub> using DFT calculations and machine learning

Correction for ‘Screening of single-atom catalysts for CO 2 electroreduction to CH 4 using DFT calculations and machine learning’ by Jingzhuo Zhou et al. , J. Mater. Chem. A , 2025, 13 , 24073–24083, https://doi.org/10.1039/D5TA03431K.

Authors

Institutions

Publication Details

Journal
Journal of Materials Chemistry A
Published
2025-01-01
DOI
https://doi.org/10.1039/d5ta90209f
Primary Topic
Machine Learning in Materials Science
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Correction: Screening of single-atom catalysts for CO2 electroreduction to CH4 using DFT calculations and machine learning

Jingzhuo Zhou, Li Shi, Yixin Ouyang, Xiaobing Wang et al.
Journal of Materials Chemistry A
Machine Learning in Materials Science
article

Correction: Screening of single-atom catalysts for CO2 electroreduction to CH4 using DFT calculations and machine learning

Jingzhuo Zhou, Li Shi, Yixin Ouyang, Xiaobing Wang, Xiuyun Zhang, Zhengyu Gu
article en

Abstract

Correction for ‘Screening of single-atom catalysts for CO 2 electroreduction to CH 4 using DFT calculations and machine learning’ by Jingzhuo Zhou et al. , J. Mater. Chem. A , 2025, 13 , 24073–24083, https://doi.org/10.1039/D5TA03431K.

Journal of Materials Chemistry A
Nanjing University of Posts and Telecommunications (CN), Ministry of Education (BD), Yangzhou University (CN)
Openalex Percentile: Top 81%
Machine Learning in Materials Science
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.