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Updated: Dec 10, 2025

Multiscale Sampling of a Heterogeneous Water/Metal Catalyst Interface using Density Functional Theory and Force-Field Molecular Dynamics
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Density Functional Theory-Based Quantum Mechanics/Coarse-Grained Molecular Mechanics: Theory and Implementation.

Alexander V Mironenko1, Gregory A Voth1

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Density functional theory (DFT) quantum mechanics/coarse-grained molecular mechanics (QM/CG-MM) accurately models chemical reactions in complex systems. This efficient method overcomes limitations of traditional QM/MM, enabling accurate simulations of molecular dynamics.

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Area of Science:

  • Computational Chemistry
  • Chemical Physics
  • Molecular Modeling

Background:

  • Quantum mechanics/molecular mechanics (QM/MM) is standard for chemical reactivity but struggles with complex dynamics.
  • Limitations include long relaxation times, high computational cost, and expensive long-range electrostatics.
  • Coarse-graining molecular mechanics (MM) offers a solution, leading to QM/coarse-grained MM (QM/CG-MM).

Purpose of the Study:

  • To recast QM/CG-MM within the density functional theory (DFT) formalism.
  • To assess the performance of DFT-QM/CG-MM for chemical reactivity simulations.
  • To evaluate its accuracy against traditional QM/MM methods.

Main Methods:

  • Recasting QM/CG-MM in the DFT formalism.
  • Employing the force-matching variational principle.
  • Testing on model systems: QM CCl4 in MM CCl4 liquid and a reaction in MM CCl4 solvent.

Main Results:

  • DFT-QM/CG-MM accurately reproduces QM/MM radial distribution functions and three-body correlations.
  • The method achieves high accuracy (<1-2 kcal/mol error) in free-energy profiles for reactions.
  • Demonstrates reliable performance for QM CCl4 in MM CCl4 and a specific radical reaction.

Conclusions:

  • DFT-QM/CG-MM is a general, systematic, and computationally efficient approach.
  • It effectively incorporates chemical reactivity into coarse-grained molecular models.
  • This method overcomes QM/MM limitations for complex molecular dynamics simulations.