A non-metal doped VTe<sub>2</sub> monolayer: theoretical insights into the enhanced mechanism for the hydrogen evolution reaction
Two-dimensional transition metal dichalcogenides (TMDCs), such as vanadium ditelluride (VTe<sub>2</sub>), have emerged as promising catalysts for the hydrogen evolution reaction (HER) due to their unique layered structures and remarkable electronic properties. However, the catalytic performance of pristine VTe<sub>2</sub> remains inferior to that of noble metals. In this study, density functional theory (DFT) calculations were employed to systematically investigate the influence of fourteen different non-metal dopants on the HER activity of VTe<sub>2</sub>. Our results disclose that N-VTe<sub>2</sub>, P-VTe<sub>2</sub> and As-VTe<sub>2</sub> possess exceptional catalytic properties for the HER with the Gibbs free energy of hydrogen adsorption (Δ<i>G</i><sub>H*</sub>) values of 0.031, -0.032 and 0.024 eV, respectively. Furthermore, analyses of the geometric and electronic structures reveal that non-metal doping induces localized geometric distortions and charge redistribution, thereby altering the electronic environment of active sites and enhancing catalytic performance. More importantly, a composite descriptor <i>φ</i>, integrating the bond length between doped non-metal atoms and neighboring V atoms (<i>L</i><sub>NM-M</sub>) and the pz band center (<i>ε</i><sub>pz</sub>) of the doped atoms, demonstrates a strong correlation with Δ<i>G</i><sub>H*</sub> and may serve as an effective predictor of HER activity. These findings shed light on non-metal doping as an effective strategy for developing efficient, non-noble metal HER catalysts based on TMDCs.
Authors
- Jisong Hu (ORCID: https://orcid.org/0000-0003-4210-8389)
- Ling Fang (ORCID: https://orcid.org/0000-0003-2092-3681)
- Yang Xu (ORCID: https://orcid.org/0000-0002-9945-7507)
- Guang‐Xia Shi (ORCID: https://orcid.org/0000-0002-8834-2085)
- Guofeng Li (ORCID: https://orcid.org/0000-0002-4104-6035)
- Ying Zhang (ORCID: https://orcid.org/0000-0002-7557-2965)
- Lei Zhang
- Yanwei Wang (ORCID: https://orcid.org/0000-0001-6042-3206)
- Ge Gao (ORCID: https://orcid.org/0009-0006-2010-5207)
Institutions
- Jiangsu Normal University (CN)
- Xuzhou University of Technology (CN)
- Xinjiang Industry Technical College (CN)
- Chongqing Institute of Green and Intelligent Technology (CN)
- Xuzhou College of Industrial Technology
- Huazhong University of Science and Technology (CN)
Publication Details
- Journal
- Physical Chemistry Chemical Physics
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1039/d5cp00670h
- Citations
- 6
- Primary Topic
- Machine Learning in Materials Science
- Type
- article
- Field-Weighted Citation Impact
- 3.11