Generalized Einstein Relation for Markovian Friction Coefficients from Molecular Trajectories

We present a generalized Einstein relation for the friction coefficients associated with an underlying memory kernel in terms of observable time correlation functions. There is considerable freedom in the correlations involved, and this allows the expression to be tailored to the particular system to achieve numerical stability. We demonstrate this by recovering the site-specific friction coefficients from trajectories of a freely diffusing model trimer, and we show that the accuracy is greatly improved over established Volterra inversion methods for kernel extraction.

Authors

Publication Details

Journal
Physical Review Letters
Published
2025-04-07
DOI
https://doi.org/10.1103/physrevlett.134.147101
Citations
2
Primary Topic
Force Microscopy Techniques and Applications
Type
article
Field-Weighted Citation Impact
2.49

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article

Generalized Einstein Relation for Markovian Friction Coefficients from Molecular Trajectories

Jeff Hall, Marina Guenza
2 citations
Physical Review Letters
Force Microscopy Techniques and Applications
2.49
article

Generalized Einstein Relation for Markovian Friction Coefficients from Molecular Trajectories

Jeff Hall, Marina Guenza
article en
2 citations

Abstract

We present a generalized Einstein relation for the friction coefficients associated with an underlying memory kernel in terms of observable time correlation functions. There is considerable freedom in the correlations involved, and this allows the expression to be tailored to the particular system to achieve numerical stability. We demonstrate this by recovering the site-specific friction coefficients from trajectories of a freely diffusing model trimer, and we show that the accuracy is greatly improved over established Volterra inversion methods for kernel extraction.

Physical Review LettersVol. 134(14)
National Science Foundation, University of Oregon
Reduced inequalities
Openalex Percentile: Top 12%
Force Microscopy Techniques and Applications
2.49
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