金属纳米材料在反应环境中的结构研究

IF 16.8 2区 化学 Q1 CHEMISTRY, MULTIDISCIPLINARY Wiley Interdisciplinary Reviews: Computational Molecular Science Pub Date : 2021-10-30 DOI:10.1002/wcms.1587
Yu Han, Xinyi Duan, Beien Zhu, Yi Gao
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引用次数: 4

摘要

金属纳米材料在非均相催化领域具有重要意义。一般来说,金属纳米材料的催化性能是由其结构决定的。然而,金属纳米材料的动态重构远非静态的,而是在反应环境中不断发生,从而产生不同的催化活性。本文综述了结构变化驱动力理论研究的最新进展。第一部分简要介绍了催化剂在反应环境中的一些典型的原位和非原位实验观察,包括金属或双金属纳米材料的形状、尺寸和合金成分的变化。接下来,我们回顾了理论计算和模拟方法的最新进展,以理解这些实验观察结果,并根据不同的驱动因素对它们进行分类,例如氧化和还原效应,吸附诱导重建。此外,本文还为理论模拟和实验观察之间的定量一致提供了许多实例,这表明了在实际反应中合理设计高性能金属纳米催化剂的潜在应用。本文分类如下:
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Insights into structure of metal nanomaterials in reactive environments

Metal nanomaterials are of great importance in the field of heterogeneous catalysis. In general, the catalytic performances of metal nanomaterials are determined by the structures. However, far from being static, dynamic reconstruction of metal nanomaterials constantly occurs in reactive environments, resulting in different catalytic activities. This review summarizes the latest progress of theoretical understanding of the driving forces for the structural changes. In the first part, some typical ex situ and in situ experimental observations of catalysts in reactive environments are briefly introduced, including the changes of shape, size, and alloy composition of metal or bimetallic nanomaterials. Next, we review the state-of-the-art advancement of the theoretical calculations and simulation methods to understand these experimental observations, and categorize them according to the different driving forces, for example, the oxidation and reduction effects, adsorption-induced reconstruction. Moreover, this review provides many examples for the quantitative agreement between theoretical modeling and experimental observations, which indicates the potential applications for the rational design of high-performance metal nanocatalysts in real reactions.

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来源期刊
Wiley Interdisciplinary Reviews: Computational Molecular Science
Wiley Interdisciplinary Reviews: Computational Molecular Science CHEMISTRY, MULTIDISCIPLINARY-MATHEMATICAL & COMPUTATIONAL BIOLOGY
CiteScore
28.90
自引率
1.80%
发文量
52
审稿时长
6-12 weeks
期刊介绍: Computational molecular sciences harness the power of rigorous chemical and physical theories, employing computer-based modeling, specialized hardware, software development, algorithm design, and database management to explore and illuminate every facet of molecular sciences. These interdisciplinary approaches form a bridge between chemistry, biology, and materials sciences, establishing connections with adjacent application-driven fields in both chemistry and biology. WIREs Computational Molecular Science stands as a platform to comprehensively review and spotlight research from these dynamic and interconnected fields.
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