以二维材料(单层氧化锌、石墨烯和硼吩)为支撑的异质单簇催化剂(Ni4、Fe4)用于高效氢气进化反应

IF 3.1 3区 材料科学 Q2 MATERIALS SCIENCE, MULTIDISCIPLINARY
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引用次数: 0

摘要

基于非贵金属和具有成本效益的金属的催化剂对于氢气进化反应(HER)以氢气形式获得可行的可再生能源至关重要。单层氧化锌(ZnO-m)、石墨烯和硼吩是二维材料,由于它们具有引人入胜的蜂窝状结构和各种电子特性(半导电、半金属和金属)而备受关注。在这项研究中,我们采用密度泛函理论系统地研究和比较了吸附了镍和铁簇的上述三种二维材料的热释光活性。我们的研究结果表明,所有模型复合材料对 HER 的催化活性都有显著增强。铁簇@石墨烯和铁簇@ZnO-m的氢吸附吉布斯自由能(ΔGH)分别为0.053和0.011 eV,接近理想值,表明其催化活性优于铂。所有研究的复合材料都发生了水解离,且能垒接近于零。此外,铁簇@硼吩在最宽的 pH 值范围内表现出较强的酸性 HER 活性,镍簇@石墨烯和镍簇@硼吩在最宽的 pH 值范围内表现出优异的 HER 活性和耐酸碱性。这些见解为设计具有高 HER 活性的低成本分水催化剂提供了重要策略。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Heterogeneous single-cluster catalysts (Ni4, Fe4) supported on 2D materials (ZnO monolayer, graphene and borophene) for efficient hydrogen evolution reaction

Heterogeneous single-cluster catalysts (Ni4, Fe4) supported on 2D materials (ZnO monolayer, graphene and borophene) for efficient hydrogen evolution reaction
Catalysts based on non-noble and cost-effective metals are crucial for the hydrogen evolution reaction (HER) to obtain viable renewable energy in the form of hydrogen. ZnO monolayer (ZnO-m), graphene and borophene are 2D materials that have attracted much interest due to their intriguing honeycomb-like structures with various electronic properties (semiconducting, semimetallic and metallic). In this work, we employ density functional theory to systematically investigate and compare the HER activities of the above three 2D materials with Ni and Fe clusters adsorbed on top. Our results indicate that all model composites exhibit significantly enhanced catalytic activity toward HER. The Gibbs free energies of hydrogen adsorption (ΔGH) of Fe cluster@graphene and Fe cluster@ZnO-m were found to be 0.053 and 0.011 eV, respectively, which are close to the ideal value, suggesting that the catalytic activity is better than that of platinum. Water dissociation occurs for all studied composites with energy barriers close to zero. In addition, Fe cluster@borophene exhibited strong acidic HER activity with the widest pH range, and Ni cluster@graphene and Ni cluster@borophene showed excellent HER activity with the widest pH range and acid-alkali resistance. These insights provide important strategies for designing low-cost water-splitting catalysts with high HER activity.
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来源期刊
Computational Materials Science
Computational Materials Science 工程技术-材料科学:综合
CiteScore
6.50
自引率
6.10%
发文量
665
审稿时长
26 days
期刊介绍: The goal of Computational Materials Science is to report on results that provide new or unique insights into, or significantly expand our understanding of, the properties of materials or phenomena associated with their design, synthesis, processing, characterization, and utilization. To be relevant to the journal, the results should be applied or applicable to specific material systems that are discussed within the submission.
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