Literature DB >> 19549838

Computing generalized Langevin equations and generalized Fokker-Planck equations.

Eric Darve1, Jose Solomon, Amirali Kia.   

Abstract

The Mori-Zwanzig formalism is an effective tool to derive differential equations describing the evolution of a small number of resolved variables. In this paper we present its application to the derivation of generalized Langevin equations and generalized non-Markovian Fokker-Planck equations. We show how long time scales rates and metastable basins can be extracted from these equations. Numerical algorithms are proposed to discretize these equations. An important aspect is the numerical solution of the orthogonal dynamics equation which is a partial differential equation in a high dimensional space. We propose efficient numerical methods to solve this orthogonal dynamics equation. In addition, we present a projection formalism of the Mori-Zwanzig type that is applicable to discrete maps. Numerical applications are presented from the field of Hamiltonian systems.

Year:  2009        PMID: 19549838      PMCID: PMC2708778          DOI: 10.1073/pnas.0902633106

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  4 in total

1.  Optimal prediction and the Mori-Zwanzig representation of irreversible processes.

Authors:  A J Chorin; O H Hald; R Kupferman
Journal:  Proc Natl Acad Sci U S A       Date:  2000-03-28       Impact factor: 11.205

2.  Collective Langevin dynamics of conformational motions in proteins.

Authors:  Oliver F Lange; Helmut Grubmüller
Journal:  J Chem Phys       Date:  2006-06-07       Impact factor: 3.488

3.  Random walk in orthogonal space to achieve efficient free-energy simulation of complex systems.

Authors:  Lianqing Zheng; Mengen Chen; Wei Yang
Journal:  Proc Natl Acad Sci U S A       Date:  2008-12-15       Impact factor: 11.205

4.  Normal mode partitioning of Langevin dynamics for biomolecules.

Authors:  Christopher R Sweet; Paula Petrone; Vijay S Pande; Jesús A Izaguirre
Journal:  J Chem Phys       Date:  2008-04-14       Impact factor: 3.488

  4 in total
  19 in total

Review 1.  Machine Learning Force Fields and Coarse-Grained Variables in Molecular Dynamics: Application to Materials and Biological Systems.

Authors:  Paraskevi Gkeka; Gabriel Stoltz; Amir Barati Farimani; Zineb Belkacemi; Michele Ceriotti; John D Chodera; Aaron R Dinner; Andrew L Ferguson; Jean-Bernard Maillet; Hervé Minoux; Christine Peter; Fabio Pietrucci; Ana Silveira; Alexandre Tkatchenko; Zofia Trstanova; Rafal Wiewiora; Tony Lelièvre
Journal:  J Chem Theory Comput       Date:  2020-07-16       Impact factor: 6.006

2.  Multiscale simulation of microbe structure and dynamics.

Authors:  Harshad Joshi; Abhishek Singharoy; Yuriy V Sereda; Srinath C Cheluvaraja; Peter J Ortoleva
Journal:  Prog Biophys Mol Biol       Date:  2011-07-23       Impact factor: 3.667

3.  Derivation of delay equation climate models using the Mori-Zwanzig formalism.

Authors:  Swinda K J Falkena; Courtney Quinn; Jan Sieber; Jason Frank; Henk A Dijkstra
Journal:  Proc Math Phys Eng Sci       Date:  2019-07-17       Impact factor: 2.704

Review 4.  Molecular Dynamics Simulations of Membrane Permeability.

Authors:  Richard M Venable; Andreas Krämer; Richard W Pastor
Journal:  Chem Rev       Date:  2019-02-12       Impact factor: 60.622

5.  Data-driven parameterization of the generalized Langevin equation.

Authors:  Huan Lei; Nathan A Baker; Xiantao Li
Journal:  Proc Natl Acad Sci U S A       Date:  2016-11-29       Impact factor: 11.205

6.  Convolutionless Nakajima-Zwanzig equations for stochastic analysis in nonlinear dynamical systems.

Authors:  D Venturi; G E Karniadakis
Journal:  Proc Math Phys Eng Sci       Date:  2014-06-08       Impact factor: 2.704

7.  Multiscale dynamics of macromolecules using normal mode Langevin.

Authors:  J A Izaguirre; C R Sweet; V S Pande
Journal:  Pac Symp Biocomput       Date:  2010

8.  Data-driven molecular modeling with the generalized Langevin equation.

Authors:  Francesca Grogan; Huan Lei; Xiantao Li; Nathan A Baker
Journal:  J Comput Phys       Date:  2020-06-03       Impact factor: 3.553

9.  Is protein folding sub-diffusive?

Authors:  Sergei V Krivov
Journal:  PLoS Comput Biol       Date:  2010-09-16       Impact factor: 4.475

10.  Hierarchical Multiscale Modeling of Macromolecules and their Assemblies.

Authors:  P Ortoleva; A Singharoy; S Pankavich
Journal:  Soft Matter       Date:  2013-04-28       Impact factor: 3.679

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