High-throughput screening and an interpretable machine learning model of single-atom hydrogen evolution catalysts with an asymmetric coordination environment constructed from heteroatom-doped graphdiyne

Exploring high-activity and low-cost electrocatalysts for the hydrogen evolution reaction is the key to developing new energy sources, but it faces major challenges.

Authors

Shuaishuai Gao (ORCID: https://orcid.org/0000-0003-3534-6215)
Penghui Ren (ORCID: https://orcid.org/0000-0001-5817-3199)
Ying Zhao (ORCID: https://orcid.org/0009-0004-5846-362X)
Lishuang Ma (ORCID: https://orcid.org/0000-0002-8683-633X)
Xuebo Chen (ORCID: https://orcid.org/0000-0002-9814-9908)

Institutions

Yantai University (CN)
Beijing Normal University (CN)
China University of Petroleum, East China (CN)

Publication Details

Journal: Journal of Materials Chemistry A
Published: 2025-01-01
DOI: https://doi.org/10.1039/d4ta08095e
Citations: 17
Primary Topic: Electrocatalysts for Energy Conversion
Type: article
Field-Weighted Citation Impact: 6.18

Funders

Key Technology Research and Development Program of Shandong

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article

High-throughput screening and an interpretable machine learning model of single-atom hydrogen evolution catalysts with an asymmetric coordination environment constructed from heteroatom-doped graphdiyne

Shuaishuai Gao, Penghui Ren, Ying Zhao, Lishuang Ma et al.

Jan 1, 2025

17 citations

Journal of Materials Chemistry A

Electrocatalysts for Energy Conversion

6.18

article

High-throughput screening and an interpretable machine learning model of single-atom hydrogen evolution catalysts with an asymmetric coordination environment constructed from heteroatom-doped graphdiyne

Shuaishuai Gao, Penghui Ren, Ying Zhao, Lishuang Ma, Xuebo Chen

January 1, 2025article en

17 citations

Abstract

Exploring high-activity and low-cost electrocatalysts for the hydrogen evolution reaction is the key to developing new energy sources, but it faces major challenges.

Journal of Materials Chemistry AVol. 13(6)

Yantai University (CN), Beijing Normal University (CN), China University of Petroleum, East China (CN)

Key Technology Research and Development Program of Shandong

Affordable and clean energy

Openalex Percentile: Top 3%

Electrocatalysts for Energy Conversion

6.18

DOI Source OpenAlex

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High-throughput screening and an interpretable machine learning model of single-atom hydrogen evolution catalysts with an asymmetric coordination environment constructed from heteroatom-doped graphdiyne — Shuaishuai Gao, Penghui Ren, et al. · Journal of Materials Chemistry A (2025) | TGRS Research Map | TGRS