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Distributed polarizability models for imidazolium-based ionic liquids.

Claude Millot1, Alain Chaumont, Etienne Engler

  • 1Université de Lorraine, CNRS, SRSMC , UMR 7565, Equipes TMS/ReSolve, Faculté des Sciences et Technologies, Boulevard des Aiguillettes, BP 70239, Vandoeuvre-lès-Nancy F-54506, France.

The Journal of Physical Chemistry. A
|August 19, 2014
PubMed
Summary
This summary is machine-generated.

New distributed polarizability models accurately represent imidazolium-based ionic liquids for molecular dynamics simulations. These models capture essential electronic interactions, enhancing simulation reliability for room-temperature ionic liquids.

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Area of Science:

  • Computational Chemistry
  • Materials Science
  • Physical Chemistry

Background:

  • Room-temperature ionic liquids (RTILs) are crucial in various chemical applications.
  • Accurate molecular dynamics (MD) simulations require precise polarizability models.
  • Imidazolium-based RTILs are widely studied but computationally demanding.

Purpose of the Study:

  • To develop accurate and compact distributed polarizability models for imidazolium-based RTILs.
  • To enable reliable classical molecular dynamics simulations of these ionic liquids.
  • To assess the transferability of polarizability models across different imidazolium cations.

Main Methods:

  • Quantum chemical calculations were performed to derive distributed polarizability models.
  • Two models were developed: one with charge-flow and isotropic dipolar polarizabilities, and another with anisotropic dipolar polarizabilities.
  • Models were fitted to reproduce induction energies for imidazolium cations and various anions.

Main Results:

  • The developed distributed polarizability models accurately reproduce induction energies.
  • Both models showed good agreement with ab initio calculations for molecular polarizability and anisotropy.
  • Polarizability sets demonstrated good transferability for various imidazolium cations.

Conclusions:

  • The derived distributed polarizability models are suitable for classical MD simulations of imidazolium-based RTILs.
  • These models offer a balance of accuracy and computational efficiency.
  • The study validates the transferability of these models, broadening their applicability.