N2对Cu2O的形态依赖还原:高效氨电催化合成的实验与计算相结合研究。

IF 12.1 2区 材料科学 Q1 CHEMISTRY, MULTIDISCIPLINARY
Small Pub Date : 2025-07-04 DOI:10.1002/smll.202505121
Sourav Paul, Amal Gain, Ashadul Adalder, Sayan Pal, Samir H Mushrif, Uttam Kumar Ghorai
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引用次数: 0

摘要

通过调整催化剂的形态来改变催化剂的性能,为提高氨电合成中电催化氮还原反应(NRR)提供了一种很有前途的方法。在这项工作中,研究了具有不同立方和八面体形态的Cu2O纳米晶体的结构依赖性能。实验结果表明,具有纳米八面体形态的Cu2O具有增强的NRR性能,在-0.5 V条件下NH3产率为182.1µg h-1 mgcat -1,法拉第效率(FE)为35.8%,超过立方态Cu2O。为了深入了解机理,密度泛函理论计算采用哈伯德校正(DFT + U)进行。结果表明,在Cu2O暴露的(111)面上,热力学上有利的氮还原途径。此外,电荷转移分析提供了对NRR过程中电子密度重新分配的见解。实验结果和理论见解之间的协同作用突出了形态调整在设计高效的cu20基电催化合成氨催化剂中的重要性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Morphology Dependent N2 Reduction on Cu2O: Combined Experimental and Computational Study for Efficient Ammonia Electrocatalytic Synthesis.

Tailoring morphology to alter catalyst performance offers a promising approach to enhance electrocatalytic nitrogen reduction reaction (NRR) for ammonia electrosynthesis. In this work, the structure-dependent performance of Cu2O nanocrystals with distinct cubic and octahedral morphologies is investigated. Experimental results demonstrate the structure-dependent activity, wherein Cu2O with nanooctahedral morphology shows enhanced NRR performance achieving NH3 yield of 182.1 µg h-1 mgcat -1 and Faradaic efficiency (FE) of 35.8% at -0.5 V versus RHE, surpassing its cubic counterpart. To gain mechanistic insights, density functional theory calculations are performed with Hubbard correction (DFT + U). The results indicate thermodynamically favorable nitrogen reduction pathway on the exposed (111) facets of Cu2O. Furthermore, charge transfer analysis provides insights into the redistribution of electron density during NRR. The synergy between experimental results and theoretical insights highlights the importance of morphological tuning in designing efficient Cu2O-based catalysts for electrocatalytic ammonia synthesis.

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来源期刊
Small
Small 工程技术-材料科学:综合
CiteScore
17.70
自引率
3.80%
发文量
1830
审稿时长
2.1 months
期刊介绍: Small serves as an exceptional platform for both experimental and theoretical studies in fundamental and applied interdisciplinary research at the nano- and microscale. The journal offers a compelling mix of peer-reviewed Research Articles, Reviews, Perspectives, and Comments. With a remarkable 2022 Journal Impact Factor of 13.3 (Journal Citation Reports from Clarivate Analytics, 2023), Small remains among the top multidisciplinary journals, covering a wide range of topics at the interface of materials science, chemistry, physics, engineering, medicine, and biology. Small's readership includes biochemists, biologists, biomedical scientists, chemists, engineers, information technologists, materials scientists, physicists, and theoreticians alike.
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