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Molecular Dynamics Simulations of Ionic Liquids and Electrolytes Using Polarizable Force Fields

机译:可极化力场的离子液体和电解质的分子动力学模拟

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Many applications in chemistry, biology, and energy storage/conversion research rely on molecular simulations to provide fundamental insight into structural and transport properties of materials with high ionic concentrations. Whether the system is comprised entirely of ions, like ionic liquids, or is a mixture of a polar solvent with a salt, e.g., liquid electrolytes for battery applications, the presence of ions in these materials results in strong local electric fields polarizing solvent molecules and large ions. To predict properties of such systems from molecular simulations often requires either explicit or mean-field inclusion of the influence of polarization on electrostatic interactions. In this manuscript, we review the pros and cons of different treatments of polarization ranging from the mean-field approaches to the most popular explicit polarization models in molecular dynamics simulations of ionic materials. For each method, we discuss their advantages and disadvantages and emphasize key assumptions as well as their adjustable parameters. Strategies for the development of polarizable models are presented with a specific focus on extracting atomic polarizabilities. Finally, we compare simulations using polarizable and nonpolarizable models for several classes of ionic systems, discussing the underlying physics that each approach includes or ignores, implications for implementation and computational efficiency, and the accuracy of properties predicted by these methods compared to experiments.
机译:化学,生物学和能量存储/转换研究中的许多应用依赖于分子模拟,为具有高离子浓度的材料的结构和运输性能提供基本的洞察力。该系统是否完全由离子液体相似,或者是具有盐的极性溶剂的混合物,例如电池应用的液体电解质,这些材料中的离子存在导致偏振溶剂分子的强大局部电场大离子。为了从分子模拟预测这种系统的性质通常需要明确或平均场夹杂物体对静电相互作用的影响。在这一稿件中,我们审查了不同处理离子材料的分子动力学模拟中最流行的明确偏振模型的偏振处理的优点和缺点。对于每种方法,我们讨论了它们的优缺点,并强调关键假设以及可调节参数。展示可极化模型的发展的策略具有特定的专注于提取原子偏振性。最后,我们将模拟使用可极化的和不可均匀的模型进行多种类别的离子系统,讨论了每个方法包括或忽略的潜在物理学,以实现和计算效率的影响,以及这些方法与实验相比预测的性质的准确性。

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  • 来源
    《Chemical Reviews 》 |2019年第13期| 共56页
  • 作者单位

    Univ Utah Dept Mat Sci &

    Engn 122 South Cent Campus Dr Room 304 Salt Lake City UT 84112 USA;

    Sorbonne Univ CNRS UMR 7616 Lab Chim Theor CC137 4 Pl Jussieu Tour 12-13 4eme Etage F-75252 Paris 05 France;

    US Army Electrochem Branch Sensors &

    Elect Devices Directorate Res Lab 2800 Powder Mill Rd Adelphi MD 20703 USA;

    Univ Maryland Sch Pharm Dept Pharmaceut Sci 20 Penn St Baltimore MD 21201 USA;

    Univ Chicago Dept Biochem &

    Mol Biol Gordon Ctr Integrat Sci 929 57th St Chicago IL 60637 USA;

    Univ Vienna Dept Computat Biol Chem Wahringer Str 17 A-1090 Vienna Austria;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 化学 ;
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