Capturing the nuclear quantum effects in molecular dynamics for lattice thermal conductivity calculations: Using ice as example

被引:0
|
作者
Luo, Ripeng [1 ]
Yu, Kuang [1 ]
机构
[1] Tsinghua Shenzhen International Graduate School, Tsinghua-Berkeley Shenzhen Institute (TBSI), Tsinghua University, 1101 Xueyuan Road, Building C2, Shenzhen, Guangdong,518055, China
来源
Journal of Chemical Physics | 2020年 / 153卷 / 19期
关键词
Crystal lattices - Phonons - Quantum theory - Quantum chemistry - Ice - Calculations - Thermal conductivity;
D O I
暂无
中图分类号
学科分类号
摘要
Molecular dynamics (MD) is a powerful (and the most viable) tool to compute the thermal conductivities of solid disordered materials. However, conventional classical MD fails to describe the nuclear quantum effects (NQEs), so it may give inaccurate results for light materials at low temperatures. While the importance of NQE has been widely acknowledged, yet we do not have a fully reliable method to account for NQE in the MD thermal conductivity calculations. In this work, we will investigate and analyze the performances of a number of path-integral-based quantum MD methods, using ordered ice as a test case. To establish the validity of these methods, we will compare the MD results with the lattice dynamics results, in both classical and quantum limits. Through such a comparison, we will show that methods such as ring polymer MD stand as a good approach for a complex solid with short phonon lifetimes but could be problematic when describing long-living acoustic phonons. In addition, we will show that the rigid water model, which is the state-of-the-art model in the studies of ice/water systems, fails to capture most of the NQEs in ice thermal conductivity. Neglecting librational and translational NQEs leads to essential errors, which clearly demonstrates the importance of a true quantum simulation method that treats all modes at a consistent quantum level. © 2020 Author(s).
引用
收藏
相关论文
共 50 条
  • [1] Capturing the nuclear quantum effects in molecular dynamics for lattice thermal conductivity calculations: Using ice as example
    Luo, Ripeng
    Yu, Kuang
    JOURNAL OF CHEMICAL PHYSICS, 2020, 153 (19):
  • [2] Nuclear quantum effects in thermal conductivity from centroid molecular dynamics
    Sutherland, Benjamin J.
    Moore, William H. D.
    Manolopoulos, David E.
    JOURNAL OF CHEMICAL PHYSICS, 2021, 154 (17):
  • [3] Lattice thermal conductivity in superlattices: molecular dynamics calculations with a heat reservoir method
    Imamura, K
    Tanaka, Y
    Nishiguchi, N
    Tamura, S
    Maris, HJ
    JOURNAL OF PHYSICS-CONDENSED MATTER, 2003, 15 (50) : 8679 - 8690
  • [4] ARGON THERMAL CONDUCTIVITY BY ANHARMONIC LATTICE DYNAMICS CALCULATIONS
    Turney, J. E.
    McGaughey, A. J. H.
    Amon, C. H.
    HT2008: PROCEEDINGS OF THE ASME SUMMER HEAT TRANSFER CONFERENCE, VOL 1, 2009, : 345 - 347
  • [5] Predicting phonon properties and thermal conductivity from anharmonic lattice dynamics calculations and molecular dynamics simulations
    Turney, J. E.
    Landry, E. S.
    McGaughey, A. J. H.
    Amon, C. H.
    PHYSICAL REVIEW B, 2009, 79 (06)
  • [6] Lattice Thermal Conductivity of Polyethylene Molecular Crystals from First-Principles Including Nuclear Quantum Effects
    Shulumba, Nina
    Hellman, Olle
    Minnich, Austin J.
    PHYSICAL REVIEW LETTERS, 2017, 119 (18)
  • [7] THIN FILM THERMAL CONDUCTIVITY BY ANHARMONIC LATTICE DYNAMICS CALCULATIONS
    Turney, J. E.
    McGaughey, A. J. H.
    Amon, C. H.
    PROCEEDINGS OF THE ASME INTERNATIONAL MECHANICAL ENGINEERING CONGRESS AND EXPOSITION, VOL 13, PTS A AND B, 2009, : 1195 - 1197
  • [8] Molecular dynamics calculations of InSb nanowires thermal conductivity
    Cardozo, Giovano de Oliveira
    Rino, Jose Pedro
    JOURNAL OF MATERIALS SCIENCE, 2011, 46 (03) : 629 - 633
  • [9] Molecular dynamics calculations of InSb nanowires thermal conductivity
    Giovano de Oliveira Cardozo
    José Pedro Rino
    Journal of Materials Science, 2011, 46 : 629 - 633
  • [10] Lattice thermal conductivity of δ-graphyne - A molecular dynamics study
    Zhang, Jide
    Cui, Yan
    Wang, Shuaiwei
    PHYSICA E-LOW-DIMENSIONAL SYSTEMS & NANOSTRUCTURES, 2017, 90 : 116 - 122