Kapil Venkat, Wieme Jelle, Vandenbrande Steven, Lamaire Aran, Van Speybroeck Veronique, Ceriotti Michele
Laboratory of Computational Science and Modelling, Institute of Materials , Ecole Polytechnique Fédérale de Lausanne , CH-1015 Lausanne , Switzerland.
Center for Molecular Modeling , Ghent University , Tech Lane Ghent Science Park Campus A, Technologiepark 46 , 9052 Zwijnaarde , Belgium.
J Chem Theory Comput. 2019 May 14;15(5):3237-3249. doi: 10.1021/acs.jctc.8b01297. Epub 2019 Apr 30.
Metal-organic frameworks show both fundamental interest and great promise for applications in adsorption-based technologies, such as the separation and storage of gases. The flexibility and complexity of the molecular scaffold pose a considerable challenge to atomistic modeling, especially when also considering the presence of guest molecules. We investigate the role played by quantum and anharmonic fluctuations in the archetypical case of MOF-5, comparing the material at various levels of methane loading. Accurate path integral simulations of such effects are made affordable by the introduction of an accelerated simulation scheme and the use of an optimized force field based on first-principles reference calculations. We find that the level of statistical treatment that is required for predictive modeling depends significantly on the property of interest. The thermal properties of the lattice are generally well described by a quantum harmonic treatment, with the adsorbate behaving in a classical but strongly anharmonic manner. The heat capacity of the loaded framework-which plays an important role in the characterization of the framework and in determining its stability to thermal fluctuations during adsorption/desorption cycles-requires, however, a full quantum and anharmonic treatment, either by path integral methods or by a simple but approximate scheme. We also present molecular-level insight into the nanoscopic interactions contributing to the material's properties and suggest design principles to optimize them.
金属有机框架在基于吸附的技术应用中展现出了根本的研究兴趣和巨大的应用前景,比如气体的分离和储存。分子支架的灵活性和复杂性给原子尺度建模带来了相当大的挑战,尤其是在还要考虑客体分子存在的情况下。我们研究了量子涨落和非谐涨落在典型的MOF-5案例中所起的作用,比较了不同甲烷负载水平下的材料。通过引入加速模拟方案以及使用基于第一性原理参考计算的优化力场,使得对这类效应进行精确的路径积分模拟变得可行。我们发现,预测性建模所需的统计处理水平很大程度上取决于所关注的性质。晶格的热性质通常通过量子谐振处理就能得到很好的描述,而吸附质的行为则表现为经典但强烈非谐的方式。然而,负载框架的热容——它在框架的表征以及确定其在吸附/解吸循环中对热涨落的稳定性方面起着重要作用——需要通过路径积分方法或简单但近似的方案进行全面的量子和非谐处理。我们还从分子层面深入了解了对材料性质有贡献的纳米级相互作用,并提出了优化这些相互作用的设计原则。