陶瓷支撑的单个铂原子结构敏感性及其对一氧化碳吸附影响的理论研究。

IF 3.4 3区 化学 Q2 CHEMISTRY, MULTIDISCIPLINARY Journal of Computational Chemistry Pub Date : 2024-05-25 DOI:10.1002/jcc.27393
Antoine Salichon, Agustin Salcedo, Carine Michel, David Loffreda
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引用次数: 0

摘要

密度泛函理论(DFT)计算在单原子催化剂(SAC)用于水气变换(WGS)反应的背景下,探索了单个铂原子在各种平面、阶梯和缺陷铈表面上的稳定性。金属的吸附特性和扩散动力学在很大程度上取决于支撑终止,在铂原子扩散受阻的阶梯状 CeO2(100)和(210)表面上,铂原子的稳定性较高。相反,稳定性较高的 CeO2(111) 和 (110) 端面对铂原子的结合力较弱,由于扩散动力学速度快,可以促进金属簇的生长。一氧化碳在不同铈端基上支撑的单个铂原子上的吸附对表面结构也很敏感。在还原的 CeO2(111) 和 (211) 端面上,一氧化碳与单个铂原子的结合力很弱。因此,WGS 反应过程中形成的二氧化碳在后者的端点上更容易解吸。振动分析表明,在这些催化剂上计算出的缩放非谐波一氧化碳伸展频率发生了显著变化。
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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Theoretical study of structure sensitivity on ceria-supported single platinum atoms and its influence on carbon monoxide adsorption

Density functional theory (DFT) calculations explore the stability of a single platinum atom on various flat, stepped, and defective ceria surfaces, in the context of single-atom catalysts (SACs) for the water–gas shift (WGS) reaction. The adsorption properties and diffusion kinetics of the metal strongly depend on the support termination with large stability on metastable and stepped CeO2(100) and (210) surfaces where the diffusion of the platinum atom is hindered. At the opposite, the more stable CeO2(111) and (110) terminations weakly bind the platinum atom and can promote the growth of metallic clusters thanks to fast diffusion kinetics. The adsorption of carbon monoxide on the single platinum atom supported on the various ceria terminations is also sensitive to the surface structure. Carbon monoxide weakly binds to the single platinum atom supported on reduced CeO2(111) and (211) terminations. The desorption of the CO2 formed during the WGS reaction is thus facilitated on the latter terminations. A vibrational analysis underlines the significant changes in the calculated scaled anharmonic CO stretching frequency on these catalysts.

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来源期刊
CiteScore
6.60
自引率
3.30%
发文量
247
审稿时长
1.7 months
期刊介绍: This distinguished journal publishes articles concerned with all aspects of computational chemistry: analytical, biological, inorganic, organic, physical, and materials. The Journal of Computational Chemistry presents original research, contemporary developments in theory and methodology, and state-of-the-art applications. Computational areas that are featured in the journal include ab initio and semiempirical quantum mechanics, density functional theory, molecular mechanics, molecular dynamics, statistical mechanics, cheminformatics, biomolecular structure prediction, molecular design, and bioinformatics.
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