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从头算衍生力场用于沸石咪唑骨架材料:ZIF 的 MOF-FF。

Ab Initio Derived Force Fields for Zeolitic Imidazolate Frameworks: MOF-FF for ZIFs.

机构信息

Computational Materials Chemistry group, Fakultät für Chemie und Biochemie , Ruhr-Universität Bochum , Bochum 44801 , Germany.

Chimie ParisTech , PSL University , CNRS, Institut de Recherche de Chimie Paris, 75005 Paris , France.

出版信息

J Chem Theory Comput. 2019 Apr 9;15(4):2420-2432. doi: 10.1021/acs.jctc.8b01041. Epub 2019 Mar 29.

DOI:10.1021/acs.jctc.8b01041
PMID:30865448
Abstract

In this paper, we parametrized in a consistent way a new force field for a range of different zeolitic imidazolate framework systems (ZIF-8, ZIF-8(H), ZIF-8(Br), and ZIF-8(Cl)), extending the MOF-FF parametrization methodology in two aspects. First, we implemented the possibility to use periodic reference data in order to prevent the difficulty of generating representative finite clusters. Second, a new optimizer based on the covariance matrix adaptation evolutionary strategy (CMA-ES) was employed during the parametrization process. We confirmed that CMA-ES, as a state-of-the-art black box optimizer for problems on continuous variables, is more efficient and versatile for force field optimization than the previous genetic algorithm. The obtained force field was then validated with respect to some static and dynamic properties. Much effort was spent to ensure that the FF is able to describe the crucial linker swing effect in a large number of ZIF-8 derivatives. For this reason, we compared our force field to ab initio molecular dynamic simulations and found an accuracy comparable to those obtained by different exchange-correlation functionals.

摘要

在本文中,我们以一致的方式参数化了一系列不同沸石咪唑酯骨架系统(ZIF-8、ZIF-8(H)、ZIF-8(Br)和 ZIF-8(Cl))的新力场,从两个方面扩展了 MOF-FF 参数化方法。首先,我们实现了使用周期性参考数据的可能性,以防止生成代表性有限团簇的困难。其次,在参数化过程中采用了基于协方差矩阵自适应进化策略(CMA-ES)的新优化器。我们证实,CMA-ES 作为连续变量问题的最先进的黑盒优化器,在力场优化方面比以前的遗传算法更有效和通用。然后,根据一些静态和动态特性对获得的力场进行了验证。我们花费了大量精力确保 FF 能够描述大量 ZIF-8 衍生物中的关键链接器摆动效应。为此,我们将我们的力场与从头分子动力学模拟进行了比较,并发现其准确性可与不同交换相关泛函获得的准确性相媲美。

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