• Chinese Physics B
  • Vol. 29, Issue 8, (2020)
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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    DOI: 10.1088/1674-1056/ab9c03 Cite this Article
    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): Copy Citation Text show less
    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.
    Fig. 1. 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.
    Fig. 2. 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.
    Fig. 3. 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.
    Fig. 4. 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]
    Fig. 5. 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.
    Fig. 6. 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.
    Fig. 7. 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.
    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
    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).
    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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