Modelling of metal nanoparticles’ structures and dynamics under reaction conditions

Xinyi Duan , Yu Han , Beien Zhu , Yi Gao
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引用次数: 0

Abstract

Metal nanoparticles (NPs) are widely used in heterogeneous catalysis. Their performance in catalytic reactions is closely related to the shape, surface structure, and composition. In the past two decades, a number of in-situ experiments have observed that under real reaction conditions, the structures of metal NPs are not static, but undergo remarkable dynamic evolution due to the presence of gas molecules. Therefore, it is imminent to develop reliable theoretical models to provide accurate predictions and comprehensive understandings of the structure reconstructions and dynamic behaviors of catalysts in response to the different reactive environments. In this review, we summarize a series of progress and achievements made by first-principle-based theoretical models in analyzing the shape evolution of metal NPs and surface segregation of alloys under different gas conditions in recent years. We also discuss the understanding of the catalytic performance of NPs by considering the reaction-condition-dependent structures. In addition, the real-time dynamic simulation methods of catalysts under reaction conditions are introduced. The perspective of simulating the kinetic process of in situ structural change is provided at last.

反应条件下金属纳米颗粒结构和动力学的模拟
金属纳米颗粒在多相催化中有着广泛的应用。它们在催化反应中的性能与其形状、表面结构和组成密切相关。在过去的二十年中,许多原位实验已经观察到,在真实的反应条件下,金属NPs的结构不是静态的,而是由于气体分子的存在而发生了显著的动态演变。因此,建立可靠的理论模型来准确预测和全面理解催化剂在不同反应环境下的结构重构和动力学行为是迫在眉睫的。本文综述了近年来基于第一性原理的理论模型在分析不同气体条件下金属NPs形状演变和合金表面偏析方面取得的一系列进展和成果。我们还讨论了通过考虑反应条件相关结构对NPs催化性能的理解。此外,还介绍了催化剂在反应条件下的实时动态模拟方法。最后提出了模拟原位结构变化动力学过程的前景。
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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