Coarse-graining complex molecular systems to lower-dimensional reaction coordinates is a powerful approach for capturing their effective dynamics. The generalized Langevin equation (GLE) provides an exact framework for modeling coarse-grained dynamics, and is particularly useful when non-Markovian effects are significant. While one-dimensional GLE models are commonly used, many systems require multi-dimensional reaction coordinates to account for coupled dynamics. Here, we study the GLE formalism for multi-dimensional reaction coordinates, incorporating a memory matrix to quantify non-Markovian frictional coupling between coordinates, and a multi-dimensional potential. Using the GLE model, in conjunction with a multi-dimensional Markovian embedding scheme, we investigate different systems that are characterized by two-dimensional reaction coordinates, namely the dihedral dynamics of pentane and alanine dipeptide, obtained from molecular dynamics simulations in explicit water. We identify significant off-diagonal friction couplings arising from intramolecular and hydrodynamic interactions. In extension of previous studies of multi-dimensional GLEs, we investigate the critical role of different terms in the multi-dimensional GLE for accurately capturing key dynamical properties, including mean first-passage times and mean-squared displacements.
The influence of multi-dimensionality and off-diagonal non-Markovian friction coupling on coarse-grained dynamics
Henrik Kiefer,Cihan Ayaz,Benjamin A. Dalton,R. R. Netz
Published 2025 in New Journal of Physics
ABSTRACT
PUBLICATION RECORD
- Publication year
2025
- Venue
New Journal of Physics
- Publication date
2025-06-06
- Fields of study
Physics, Chemistry
- Identifiers
- External record
- Source metadata
Semantic Scholar
CITATION MAP
EXTRACTION MAP
CLAIMS
- No claims are published for this paper.
CONCEPTS
- No concepts are published for this paper.
REFERENCES
CITED BY
Showing 1-1 of 1 citing papers · Page 1 of 1