沸石
硅酸铝
催化作用
分子动力学
化学
吸附
布朗斯特德-洛瑞酸碱理论
化学物理
成核
氢键
分子
化学工程
材料科学
物理化学
计算化学
有机化学
工程类
作者
Mingze Zheng,Brandon C. Bukowski
标识
DOI:10.1021/acs.jpcc.4c01087
摘要
Water plays a pivotal role in numerous chemical processes, especially in the production of fuels and fine chemicals derived from biobased feedstocks. Zeolites are porous catalysts used extensively due to their shape-selective adsorption and confinement interactions; however, the kinetics of zeolite-catalyzed reactions are significantly impacted by the presence of water, which may affect product selectivity and intrinsic rate constants depending on transition-state polarity. In this study, we employed machine learning force fields (MLFFs) to accelerate ab initio molecular dynamics (AIMD) simulations and enhance the phase space exploration of water configurations in a mode Brønsted acid zeolite, H-AFI. We interrogated the structure of adsorbed water based on the Si/Al ratio and acid site distribution to disentangle the impact of acid site density and distribution on water matrix organization as a function of water loading. We integrated adsorption thermodynamics, vibrational spectroscopy simulations, and local density maps to interrogate the spatial orientation of adsorbed water clusters and their degree of hydrogen bonding. Our analysis unveiled the intricate interplay between the zeolite structure, Brønsted acid site location, and water, where spatially disparate acid sites nucleate extended clusters that span siliceous regions of the zeolite. We found that the length scale of ordered water regions is directly related to the Si/Al ratio and spatial distribution of Al sites. These findings provide insights into the molecular-level structure of water in aluminosilicate micropores and demonstrate how acid sites can be used to control water activity, which has applications to heterogeneous catalysis and adsorptive separations.
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