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Understanding dynamics in coarse-grained models. III. Roles of rotational motion and translation-rotation coupling in
Jaehyeok Jin1,2, Eok Kyun Lee3, Gregory A Voth1
1Department of Chemistry, Chicago Center for Theoretical Chemistry, Institute for Biophysical Dynamics, and James Franck Institute, The University of Chicago, Chicago, Illinois 60637, USA.
This study integrates rotational dynamics into coarse-grained models to accurately predict atomistic diffusion coefficients. It reveals a universal excess entropy scaling for rotational and translational diffusion, improving molecular fluid dynamics predictions.
Area of Science:
- Computational chemistry
- Molecular dynamics
- Statistical mechanics
Background:
- Coarse-grained (CG) models simplify molecular systems but often omit rotational dynamics, leading to discrepancies with fine-grained (FG) simulations.
- Previous work established excess entropy scaling for translational motion in CG systems.
Purpose of the Study:
- To recover atomistic diffusion coefficients from CG dynamics by incorporating rotational motion.
- To investigate the universality of excess entropy scaling for both rotational and translational diffusion.
- To develop methods for estimating translation-rotation coupling in CG models.
Main Methods:
- Extraction of fine-grained (FG) rotational diffusion data.
- Integration of rotational dynamics into coarse-grained (CG) translational dynamics.
- Application of two methods for estimating translation-rotation coupling: rough hard sphere theory and rough Lennard-Jones model.
Main Results:
- A novel universality in excess entropy scaling between rotational and translational diffusion was identified.
- Successful recovery of FG diffusion coefficients from CG simulations by including rotational dynamics and translation-rotation coupling.
- Demonstrated that recapturing missing entropy is crucial for accurate FG diffusion prediction.
Conclusions:
- Incorporating rotational dynamics and translation-rotation coupling into CG models is essential for accurately predicting atomistic diffusion coefficients.
- Excess entropy scaling provides a universal framework for understanding diffusion in molecular fluids.
- This work bridges the gap between FG and CG dynamics, enhancing the predictive power of molecular simulations.
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