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A full Volmer–Heyrovsky reaction catalyst based on sulfur vacancy structure optimization

Bin Tian, Ligang Sun*, Zhiyuan Zeng*, Derek Ho*

*Corresponding author for this work

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

Abstract

Despite the introduction of vacancies being a notorious practice for improving electrocatalytic performance, mechanistic elucidation and rational control of such vacancies in electrocatalytic reactions remain elusive. Furthermore, prior catalysts tend to not consider the full hydrogen evolution reaction (HER) holistically, leading to suboptimal designs. Herein, we present a vacancy structure optimization strategy for catalyzing the full Volmer–Heyrovsky reaction. The proposed method has been demonstrated using FeS nanobranches with sulfur vacancies strategically substituted by oxygens (OSV-FeS NBs). Specifically, the as-prepared sample has achieved a significantly lower overpotential of 273 mV at 200 mA cm−2 and a smaller Tafel slope of 82 mV dec−1 compared to samples with non-oxygen-substituted sulfur vacancies (SV-FeS, 357 mV/114 mV dec−1) and their pristine (p-FeS, 640 mV/160 mV dec−1) counterparts. Computational and experimental results combined reveal, for the first time, that the strategic occupation of sulfur vacancies in OSV-FeS simultaneously reduces H2O adsorption on the Fe sites, increases O–H dissociation, and weakens H* adsorption on the Fe-Fe sites, thus achieving the optimization of both the Volmer and Heyrovsky steps during the HER. This work opens a new avenue for designing high-performance electrocatalysts with enhancement of the entire Volmer-Heyrovsky reaction holistically. © The Royal Society of Chemistry 2024.
Original languageEnglish
Pages (from-to)22082-22091
JournalJournal of Materials Chemistry A
Volume12
Issue number33
Online published16 Jul 2024
DOIs
Publication statusPublished - 7 Sept 2024

Funding

This project was financially supported by the Hong Kong Research Grants Council (RGC) under the General Research Fund (GRF) (No. 11216119), the Hong Kong Innovation and Technology Commission (No. ITS/166/19 and InnoHK), the City University of Hong Kong (No. 9610435), the Guangdong Basic and Applied Basic Research Foundation (No. 2022A1515011402), the Science, Technology and Innovation Commission of Shenzhen Municipality (No. GXWD20231130102735001 and ZDSYS20210616110000001), the Development and Reform Commission of Shenzhen (No. XMHT20220103004), the Gusu Innovation and Entrepreneurship Leading Talent Plan (No. ZXL2023193) and the Suzhou Institute of Nano-Tech and Nano-Bionics, Chinese Academy of Sciences (No. E2551501).

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

RGC Funding Information

  • RGC-funded

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