Crossmark

Directly predicting limiting potentials from easily obtainable physical properties of graphene-supported single-atom electrocatalysts by machine learning

Crossref DOI link: https://doi.org/10.1039/C9TA13404B

Published Online: 2020

Update policy: https://doi.org/10.1039/rsc_crossmark_policy

Authors

Lin, Shiru

Xu, Haoxiang

Wang, Yekun

Zeng, Xiao Cheng https://orcid.org/0000-0003-4672-8585
Chen, Zhongfang https://orcid.org/0000-0002-1445-9184
Funding

Funding for this research was provided by:

National Science Foundation (HRD-1736093)

National Institutes of Health (P20GM103475)
License Information

Accepted Manuscript valid from 2021-02-05
More Information

SIMILARITY CHECK

: This document is Similarity Check deposited

RELATED DATA

: Supplementary Information

IDENTIFIERS

: Xiao Cheng Zeng (ORCID)

: Zhongfang Chen (ORCID)

: Zhongfang Chen (ResearcherID)

PEER REVIEW METHOD

: Single-blind

PUBLICATION HISTORY

: Received 7 December 2019; Accepted 4 February 2020; Accepted Manuscript published 5 February 2020; Advance Article published 5 March 2020; Version of Record published 17 March 2020

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