Revisiting thermodynamic scaling relations: A reduced‐cost dual‐descriptor framework for the universal design of carbon‐based electrocatalysts

Abstract The rational design of metal‐free carbon catalysts for the oxygen reduction reaction (ORR) is limited by heterogeneous active sites and complex thermodynamics. Conventional single‐descriptor methods collapse this complexity, obscuring potential‐determining step transitions. Here we introduce a holographic thermodynamic descriptor (HTD) that reconstructs the dual‐descriptor ORR landscape from a single adsorption free energy. Using a universal scaling relation from over 2200 carbon sites and a consistent switching criterion, HTD achieves high accuracy ( R 2 = 0.949, RMSE = 0.094 V), comparable to dual‐descriptor models, with ~50% lower cost. It is validated on extreme structures ( R 2 = 0.981, RMSE = 0.114 V) and offers a preliminary correlation‐based prescreening approach for bifunctional ORR/HER candidates.

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Publication Details

Journal
Bulletin of the Korean Chemical Society
Published
2026-08-13
DOI
https://doi.org/10.1002/bkcs.70208
Primary Topic
Electrocatalysts for Energy Conversion
Type
article
Field-Weighted Citation Impact
0.00

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article

Revisiting thermodynamic scaling relations: A reduced‐cost dual‐descriptor framework for the universal design of carbon‐based electrocatalysts

Baotao Kang, Jin Yong Lee, Xiaopei Hu, Xinru Wei et al.
Bulletin of the Korean Chemical Society
Electrocatalysts for Energy Conversion
article

Revisiting thermodynamic scaling relations: A reduced‐cost dual‐descriptor framework for the universal design of carbon‐based electrocatalysts

Baotao Kang, Jin Yong Lee, Xiaopei Hu, Xinru Wei, Yingying Wang, Shanghai Yu
article en

Abstract

Abstract The rational design of metal‐free carbon catalysts for the oxygen reduction reaction (ORR) is limited by heterogeneous active sites and complex thermodynamics. Conventional single‐descriptor methods collapse this complexity, obscuring potential‐determining step transitions. Here we introduce a holographic thermodynamic descriptor (HTD) that reconstructs the dual‐descriptor ORR landscape from a single adsorption free energy. Using a universal scaling relation from over 2200 carbon sites and a consistent switching criterion, HTD achieves high accuracy ( R 2 = 0.949, RMSE = 0.094 V), comparable to dual‐descriptor models, with ~50% lower cost. It is validated on extreme structures ( R 2 = 0.981, RMSE = 0.114 V) and offers a preliminary correlation‐based prescreening approach for bifunctional ORR/HER candidates.

Bulletin of the Korean Chemical Society
University of Jinan (CN), Sungkyunkwan University (KR)
National Research Foundation of Korea, Natural Science Foundation of Shandong Province
Openalex Percentile: Top 26%
Electrocatalysts for Energy Conversion
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