The derivation and approximation of coarse-grained dynamics from Langevin dynamics

Lina Ma, Xiantao Li, Chun Liu

Research output: Contribution to journalArticlepeer-review

27 Scopus citations


We present a derivation of a coarse-grained description, in the form of a generalized Langevin equation, from the Langevin dynamics model that describes the dynamics of bio-molecules. The focus is placed on the form of the memory kernel function, the colored noise, and the second fluctuation-dissipation theorem that connects them. Also presented is a hierarchy of approximations for the memory and random noise terms, using rational approximations in the Laplace domain. These approximations offer increasing accuracy. More importantly, they eliminate the need to evaluate the integral associated with the memory term at each time step. Direct sampling of the colored noise can also be avoided within this framework. Therefore, the numerical implementation of the generalized Langevin equation is much more efficient.

Original languageEnglish (US)
Article number204117
JournalJournal of Chemical Physics
Issue number20
StatePublished - Nov 28 2016

All Science Journal Classification (ASJC) codes

  • General Physics and Astronomy
  • Physical and Theoretical Chemistry


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