Coarse-graining strategy for molecular pair interactions: A reaction coordinate study for two- and three-dimensional
Thomas Heinemann1, Sabine H L Klapp2
1Department of Chemistry, Seoul National University, Seoul 08826, Korea.
The Journal of Chemical Physics
|May 1, 2017
Summary
This study introduces optimal reaction coordinates for molecular pairs, reducing computational needs for simulations. These methods simplify complex interactions in fluids and liquid crystals, aiding scale bridging.
Area of Science:
- Computational chemistry and physics
- Molecular dynamics simulations
- Statistical mechanics
Background:
- Simulating large molecular ensembles requires efficient methods for describing interactions.
- Existing reaction coordinates can be redundant and memory-intensive, especially for symmetric molecules.
- Bridging time and length scales in simulations is a persistent challenge.
Purpose of the Study:
- To develop optimal, non-redundant reaction coordinates for molecular pairs with polar, uniaxial, or spherical symmetry.
- To minimize the size and memory requirements of interaction tables for computer simulations.
- To provide a computational methodology for deriving effective pair potentials using these coordinates.
Main Methods:
- Investigating and defining optimal reaction coordinates for molecular pairs in 2D and 3D.
- Utilizing molecular symmetries to create non-redundant coordinate sets.
- Tabulating pair interactions in the derived coordinates.
- Outlining a computational recipe based on the Boltzmann inversion principle.
Main Results:
- Optimal, symmetry-adapted reaction coordinates were identified for molecular pairs.
- Tabulated pair interactions are minimal in length and memory footprint.
- The approach is suitable for simulating complex interactions in fluid and liquid crystalline phases at low densities.
- An effective pair potential derivation methodology is provided.
Conclusions:
- The developed reaction coordinates offer computational efficiency for molecular simulations.
- This method facilitates bridging time and length scales without introducing modeling errors.
- The findings are applicable to simulating colloidal systems and complex fluids.
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