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Creating rigid molecular models using Model Geometry (MG) or ensemble averaged geometry (EG) shows EG performs better. EG models better represent experimental data, unlike MG models, especially for water

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Area of Science:

  • Computational chemistry
  • Molecular modeling
  • Physical chemistry

Background:

  • Flexible models are computationally expensive.
  • Rigid molecular models offer computational advantages but require careful construction.
  • Accurate representation of molecular interactions in condensed phases is crucial.

Purpose of the Study:

  • To explore two methods for creating rigid molecular models: Model Geometry (MG) and ensemble averaged geometry (EG).
  • To compare the performance of MG and EG rigid models against flexible models (FL) and experimental data.
  • To investigate the impact of rigid model creation on key physical properties, particularly for water.

Main Methods:

  • Development and application of MG and EG rigid models.
  • Comparison of model predictions with flexible model (FL) results.
  • Analysis of thermodynamic properties, including density temperature dependence and melting points.
  • Utilizing a three-phase coexistence method for melting temperature determination.

Main Results:

  • The EG model generally performs better than the MG model, often matching or exceeding the accuracy of FL models.
  • Significant differences in dipole moments were observed between MG and EG models due to effective induction in condensed phases.
  • The MG model for water failed to reproduce the temperature of maximum density, unlike EG and FL models.
  • The study presents a novel three-phase coexistence method for determining ice melting temperatures.

Conclusions:

  • Ensemble averaged geometry (EG) provides a more accurate approach for creating rigid molecular models compared to Model Geometry (MG).
  • Rigid models, particularly EG, can effectively capture essential physics of flexible systems, including phase behavior.
  • The findings offer insights into the complex phase behavior of water and provide improved methods for molecular simulations.