Literature DB >> 24697420

Two algorithms to compute projected correlation functions in molecular dynamics simulations.

Antoine Carof1, Rodolphe Vuilleumier2, Benjamin Rotenberg1.   

Abstract

An explicit derivation of the Mori-Zwanzig orthogonal dynamics of observables is presented and leads to two practical algorithms to compute exactly projected observables (e.g., random noise) and projected correlation function (e.g., memory kernel) from a molecular dynamics trajectory. The algorithms are then applied to study the diffusive dynamics of a tagged particle in a Lennard-Jones fluid, the properties of the associated random noise, and a decomposition of the corresponding memory kernel.

Mesh:

Year:  2014        PMID: 24697420     DOI: 10.1063/1.4868653

Source DB:  PubMed          Journal:  J Chem Phys        ISSN: 0021-9606            Impact factor:   3.488


  3 in total

1.  Extracting the diffusion tensor from molecular dynamics simulation with Milestoning.

Authors:  Mauro L Mugnai; Ron Elber
Journal:  J Chem Phys       Date:  2015-01-07       Impact factor: 3.488

2.  Coarse-graining molecular dynamics: stochastic models with non-Gaussian force distributions.

Authors:  Radek Erban
Journal:  J Math Biol       Date:  2019-09-21       Impact factor: 2.259

3.  Likelihood-based non-Markovian models from molecular dynamics.

Authors:  Hadrien Vroylandt; Ludovic Goudenège; Pierre Monmarché; Fabio Pietrucci; Benjamin Rotenberg
Journal:  Proc Natl Acad Sci U S A       Date:  2022-03-23       Impact factor: 12.779

  3 in total

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