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Van der Waals Equation01:10

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Related Experiment Video

Updated: May 25, 2026

Multiscale Sampling of a Heterogeneous Water/Metal Catalyst Interface using Density Functional Theory and Force-Field Molecular Dynamics
10:52

Multiscale Sampling of a Heterogeneous Water/Metal Catalyst Interface using Density Functional Theory and Force-Field Molecular Dynamics

Published on: April 12, 2019

Fitting properties from density functional theory based molecular dynamics simulations to parameterize a rigid water

Jonàs Sala1, Elvira Guàrdia, Jordi Martí

  • 1Departament de Física i Enginyeria Nuclear, Universitat Politècnica de Catalunya, Campus Nord B4-B5, Barcelona 08034, Spain. jonas.sala@upc.edu

The Journal of Chemical Physics
|February 11, 2012
PubMed
Summary

We improved the force matching technique for developing accurate rigid water models. Optimizing parameters and introducing a new evaluation metric led to better force fields for molecular simulations.

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Multiscale Sampling of a Heterogeneous Water/Metal Catalyst Interface using Density Functional Theory and Force-Field Molecular Dynamics
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Published on: September 1, 2023

Area of Science:

  • Computational chemistry
  • Molecular modeling
  • Physical chemistry

Background:

  • Developing accurate molecular potentials is crucial for simulations.
  • Existing methods for parameterizing water models require refinement.
  • Coarse-grained potentials and new water models are areas of active research.

Purpose of the Study:

  • To extend the force matching technique for parameterizing all-atom force fields of rigid water.
  • To optimize weighting exponents in the objective function for improved fitting.
  • To introduce a new metric for evaluating the quality of potential fits.

Main Methods:

  • Extension of the force matching technique.
  • Optimization of weighting exponents in the objective function.
  • Introduction of a root mean square difference gauge for property distributions.

Main Results:

  • Four rigid water models were parameterized using the enhanced force matching method.
  • The study assessed the impact of ghost atoms and electrostatic damping in TIP4P-like models.
  • A model incorporating a ghost atom and electrostatic damping demonstrated superior performance.

Conclusions:

  • The optimized force matching approach enhances the accuracy of rigid water models.
  • Ghost atoms and electrostatic damping play significant roles in model performance.
  • The methodology is broadly applicable to various matching algorithms and levels of molecular modeling.