Chinese Physics B, Volume. 29, Issue 8, (2020)

Fast and accurate determination of phase transition temperature via individual generalized canonical ensemble simulation

Ming-Zhe Shao1, Yan-Ting Wang2, and Xin Zhou3、†
Author Affiliations
  • 1College of Light Industry Science and Engineering, Tianjin University of Science and Technology, Tianjin 300457, China
  • 2Institute of Theoretical Physics, Chinese Academy of Sciences, Beijing 100190, China
  • 3School of Physical Sciences, University of Chinese Academy of Sciences, Beijing 100049, China
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    Figures & Tables(8)
    The gNPT simulation gives the almost constant value of the temperature in the middle of the phase-coexistence energy region as the phase transition temperature Tc = 0.619±0.003ε/kB for LJ model. Here the temperature as y axis is the calculated interior temperature of the system in the simulations, 1/S′(E), rather than an input parameter.
    The stable conformations in the gNPT simulations with distinct enthalpies, from all liquid water, the ice/water coexistence with different fractions of ice and water, to the complete frozen ice Ih.
    The evolution of obtained temperature in gNPTs with distinct parameter. The initial conformation is a coexistent state of ice Ih/water. Only the first 5 ns simulation trajectories are plotted.
    The temperatures obtained in the gNPT simulations. Cyan region refers to 274.6 ± 1 K, the melting point of the mW water model proposed in previous study.[7]Tc = 275.1 ± 0.3 K is the average of six simulations located in the phase-coexistence region.
    The gNPT method determined the phase transition temperature of the TIP4P-2005 water model. Cyan region refers to 252 ± 5 K from the free energy calculations, yellow region refers to 249±3 K of the direct coexistence route.[21]
    The gNPT method determines the phase transition temperature for the TIP4P-ICE water model. The melting point (272.2 K) proposed in previous work[30] is plotted as the dash line.
    Finite-size effect in the gNPT method determines the phase transition temperature. Data from Fig. 4 is shown in black, the other data is extracted from the simulations with 44800, 5971, and 2030 water molecules, respectively.
    • Table 1. The coexistence temperature of the mW, TIP4P/2005, TIP4P/ice water and LJ models as obtained from different methods (free energy calculations, Hamiltonian Gibbs–Duhem integration, direct coexistence technique, and the current GCE (gNPT) approach).

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      Table 1. The coexistence temperature of the mW, TIP4P/2005, TIP4P/ice water and LJ models as obtained from different methods (free energy calculations, Hamiltonian Gibbs–Duhem integration, direct coexistence technique, and the current GCE (gNPT) approach).

      MethodmWTIP4P-2005TIP4P-ICELJ
      FE/Gibbs–Duhem274.6 ± 1[7]252 ± 6[30]272 ± 6[30]0.617[31]
      DC249 ± 3[21]268 ± 2[32]
      249.5 ± 0.1[5]269.8 ± 0.1[5]
      gNPT275.1 ± 0.3250.0 ± 0.6270.2 ± 0.30.619 ± 0.003
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    Ming-Zhe Shao, Yan-Ting Wang, Xin Zhou. Fast and accurate determination of phase transition temperature via individual generalized canonical ensemble simulation[J]. Chinese Physics B, 2020, 29(8):

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    Paper Information

    Category: Water at molecular level

    Received: Apr. 26, 2020

    Accepted: --

    Published Online: Apr. 29, 2021

    The Author Email: Zhou Xin (xzhou@ucas.ac.cn)

    DOI:10.1088/1674-1056/ab9c03

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