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Molecular Simulations with in-deMon2k QM/MM, a Tutorial-Review
Aurélien de la Lande1, Aurelio Alvarez-Ibarra2, Karim Hasnaoui3
1Laboratoire de Chimie Physique, CNRS, Université Paris Sud, Université Paris Saclay, 15 avenue Jean Perrin, 91405 Orsay, France. aurelien.de-la-lande@u-psud.fr.
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).
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.
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