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Isotope effects in molecular structures and electronic properties of liquid water via deep potential molecular dynamics based on the SCAN functional

机译:基于扫描功能的深势分子动力学,通过深势分子动力学的分子结构和电子性质的同位素效应

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摘要

Feynman path-integral deep potential molecular dynamics (PI-DPMD) calculations have been employed to study both light (H_2O) and heavy water (D_2O) within the isothermalisobaric ensemble. In particular, the deep neural network is trained based on ab initio data obtained from the strongly constrained and appropriately normed (SCAN) exchange-correlation functional. Because of the lighter mass of hydrogen than deuteron. the properties of light water are more influenced by nuclear quantum effect than those of heavy water. Clear isotope effects are observed and analyzed in terms of hydrogen-bond structure and electronic properties of water that are closely associated with experimental observables. The molecular structures of both liquid H_2O and D_2O agree well with the data extracted from scattering experiments. The delicate isotope effects on radial distribution functions and angular distribution functions are well reproduced as well. Our approach demonstrates that deep neural network combined with SCAN functional based ab initio molecular dynamics provides an accurate theoretical tool for modeling water and its isotope effects.
机译:Feynman路径积分深度潜在的分子动力学(PI-DPMD)计算已经采用在等温obaric集合中研究光(H_2O)和重水(D_2O)。特别地,基于从受强制和适当规范的(扫描)交换相关功能的AB Initio数据训练了深度神经网络。由于氢气质量较轻而不是氘。轻水水的性质比核量子效应更受影响而不是重水。根据与实验性可观察结果密切相关的氢键结构和水的电子性质,观察和分析清除同位素效应。液体H_2O和D_2O的分子结构与从散射实验中提取的数据吻合良好。对径向分布函数和角度分布函数的微妙同位素效果也很好地再现。我们的方法展示了与扫描功能基的AB Initio分子动力学结合的深度神经网络为造型的水和同位素效应提供了准确的理论工具。

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  • 来源
    《Physical review.B.Condensed matter and materials physics》 |2020年第21期|214113.1-214113.10|共10页
  • 作者单位

    Department of Physics Temple University Philadelphia Pennsylvania 19122 USA;

    Department of Physics Temple University Philadelphia Pennsylvania 19122 USA;

    Program in Applied and Computational Mathematics Princeton University Princeton New Jersey 08544 USA;

    CAPT HEDPS College of Engineering Peking University Beijing 100871 China;

    Department of Physics Temple University Philadelphia Pennsylvania 19122 USA;

    Department of Physics Temple University Philadelphia Pennsylvania 19122 USA Institute for Computational Molecular Science Temple University Philadelphia Pennsylvania 19122 USA;

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