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Molecular Simulations with in-deMon2k QM/MM, a Tutorial-Review.

Aurélien de la Lande1, Aurelio Alvarez-Ibarra2, Karim Hasnaoui3

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This tutorial-review highlights deMon2k, a program for Density Functional Theory (DFT) simulations. It showcases capabilities for molecular simulations of electronic states and properties using Quantum Mechanics/Molecular Mechanics (QM/MM).

Keywords:
DFTQM/MM simulationselectron and nuclear dynamics

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Area of Science:

  • Computational Chemistry
  • Theoretical Chemistry
  • Molecular Dynamics

Background:

  • Density Functional Theory (DFT) is a powerful computational method for electronic structure calculations.
  • Quantum Mechanics/Molecular Mechanics (QM/MM) integrates quantum and classical mechanics for complex systems.
  • deMon2k is a specialized program facilitating DFT simulations.

Purpose of the Study:

  • To provide a tutorial-review of deMon2k's capabilities for molecular simulations.
  • To demonstrate its application in studying ground and excited electronic states.
  • To showcase QM/MM methodologies for various chemical and physical phenomena.

Main Methods:

  • Utilizes Density Functional Theory (DFT) within the Auxiliary DFT framework.
  • Implements additive Quantum Mechanics/Molecular Mechanics (QM/MM) with polarizable and non-polarizable force fields.
  • Includes methods for geometry optimization, Born-Oppenheimer and Ehrenfest molecular dynamics, and attosecond electron dynamics.

Main Results:

  • Demonstrates deMon2k's versatility through six diverse applicative examples.
  • Covers reactivity studies, free-energy profiles (umbrella sampling, metadynamics), spectral simulations, and electron transfer reactions.
  • Shows capabilities for computing electric and magnetic properties with QM/MM.

Conclusions:

  • deMon2k offers a comprehensive suite of tools for advanced molecular simulations.
  • The program effectively handles complex systems and diverse phenomena from reactivity to dynamics.
  • Its flexibility and implemented methods make it valuable for computational chemistry research.