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Influence of Pore Dimension on the Host–Guest Interaction in Metal–Organic Frameworks

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Lehrstuhl für Anorganische Chemie II Organometallics and Materials Chemistry, Ruhr-Universität Bochum, 44780 Bochum, Germany
*(S.A.) E-mail: [email protected]
Cite this: J. Phys. Chem. C 2016, 120, 48, 27319–27327
Publication Date (Web):November 10, 2016
https://doi.org/10.1021/acs.jpcc.6b08609
Copyright © 2016 American Chemical Society

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    Abstract

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    Atomistic simulations were performed in order to investigated the effect of pore dimension on the interaction of guest molecules with the inner surface of metal–organic frameworks (MOFs). In these systems, which only differ in the metric of their open structure, the chemical nature is conserved, and less impact on the host–guest interaction is expected compared to chemically funcionalized MOFs. However, by performing molecular dynamics simulations of benzene loaded MOF-5 derivatives (IRMOFs), which differ just in the length of the organic linker, it can be shown that impacts are present. The influence of the soft-modification can be explained only by a detailed analysis of the free energy topology and the diffusion mechanism. Note that the calculated self-diffusivity of benzene Dself shows no change with respect to the elongation of the linkers. The apparent contradiction between the macroscopic observable Dself and the microscopic free energy landscape could be resolved by introducing a hopping model for the diffusion process and subsequent Monte Carlo simulations. This study demonstrates the importance of atomistic simulations and the need to understand the host–guest interaction in MOFs in a multiscale fashion.

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    3. Zhiping Qian, Rui Zhang, Yan Xiao, Hongwei Huang, Ying Sun, Yang Chen, Tianyi Ma, Xiaodong Sun. Trace to the Source: Self‐Tuning of MOF Photocatalysts. Advanced Energy Materials 2023, 13 (23) https://doi.org/10.1002/aenm.202300086
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    10. Hideki Tanaka, Minoru T Miyahara. Free energy calculations for adsorption-induced deformation of flexible metal–organic frameworks. Current Opinion in Chemical Engineering 2019, 24 , 19-25. https://doi.org/10.1016/j.coche.2019.01.001
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    12. Xiaozhou Shen, Tianmu Zhang, Scott Broderick, Krishna Rajan. Correlative analysis of metal organic framework structures through manifold learning of Hirshfeld surfaces. Molecular Systems Design & Engineering 2018, 3 (5) , 826-838. https://doi.org/10.1039/C8ME00014J

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