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模拟金属催化剂在实际操作条件下的结构动力学

Simulating Structural Dynamics of Metal Catalysts under Operative Conditions.

作者信息

Gao Yi, Zhu Beien

机构信息

Photon Science Research Center for Carbon Dioxide, Shanghai Advanced Research Institute, Chinese Academy of Sciences, Shanghai 201210, China.

Key Laboratory of Low-Carbon Conversion Science & Engineering, Shanghai Advanced Research Institute, Chinese Academy of Sciences, Shanghai, 201210, China.

出版信息

J Phys Chem Lett. 2024 Aug 15;15(32):8351-8359. doi: 10.1021/acs.jpclett.4c01907. Epub 2024 Aug 7.

Abstract

Structural reconstructions of metal catalysts have been recognized as common phenomena during catalytic reactions, which play a key role in their activities in heterogeneous catalysis. Precisely identifying the structures under the operative conditions becomes a prerequisite to establish a reliable structure-activity relationship and further rationalize the design of metal catalysts. However, real-time capture of the structural variations of catalysts at the atomic level with high-temporal resolution is a grand challenge for present in situ characterizations. During the past decade, significant progress has been made in theory to couple the structures with the reaction conditions to reproduce the experimental observations and predict the adsorbate-induced changes of catalysts in composition, morphology, size, etc. Modeling the dynamic correlation between the structure and activity of the metal catalysts brings us advanced knowledge of heterogeneous catalysis and becomes indispensable for accurate evaluation of the performance of metal catalysts.

摘要

金属催化剂的结构重构已被认为是催化反应过程中的常见现象,这在其多相催化活性中起着关键作用。准确识别操作条件下的结构成为建立可靠的结构-活性关系以及进一步合理设计金属催化剂的先决条件。然而,以高时间分辨率在原子水平实时捕获催化剂的结构变化是目前原位表征面临的巨大挑战。在过去十年中,理论上已取得重大进展,将结构与反应条件相结合以重现实验观察结果,并预测吸附质引起的催化剂在组成、形态、尺寸等方面的变化。对金属催化剂的结构与活性之间的动态相关性进行建模,为我们带来了多相催化的先进知识,并且对于准确评估金属催化剂的性能变得不可或缺。

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