Skip to main content
U.S. Department of Energy
Office of Scientific and Technical Information

Arbitrarily accurate, nonparametric coarse graining with Markov renewal processes and the Mori–Zwanzig formulation

Journal Article · · AIP Advances
DOI:https://doi.org/10.1063/5.0162440· OSTI ID:2439465

Stochastic dynamics, such as molecular dynamics, are important in many scientific applications. However, summarizing and analyzing the results of such simulations is often challenging due to the high dimension in which simulations are carried out and, consequently, due to the very large amount of data that are typically generated. Coarse graining is a popular technique for addressing this problem by providing compact and expressive representations. Coarse graining, however, potentially comes at the cost of accuracy, as dynamical information is, in general, lost when projecting the problem in a lower-dimensional space. This article shows how to eliminate coarse-graining error using two key ideas. First, we represent coarse-grained dynamics as a Markov renewal process. Second, we outline a data-driven, non-parametric Mori–Zwanzig approach for computing jump times of the renewal process. Numerical tests on a small protein illustrate the method.

Research Organization:
Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)
Sponsoring Organization:
USDOE Laboratory Directed Research and Development (LDRD) Program; USDOE National Nuclear Security Administration (NNSA); National Science Foundation (NSF)
Grant/Contract Number:
89233218CNA000001
OSTI ID:
2439465
Report Number(s):
LA-UR--23-25692
Journal Information:
AIP Advances, Journal Name: AIP Advances Journal Issue: 9 Vol. 13; ISSN 2158-3226
Publisher:
American Institute of Physics (AIP)Copyright Statement
Country of Publication:
United States
Language:
English

References (33)

A new algorithm for Monte Carlo simulation of Ising spin systems journal January 1975
Front motion, metastability and subcritical bifurcations in hydrodynamics journal December 1986
Particle filtering with path sampling and an application to a bimodal ocean current model journal July 2009
Molecular Dynamics Simulation for All journal September 2018
Markov state models of biomolecular conformational dynamics journal April 2014
Path-sampling strategies for simulating rare events in biomolecular systems journal April 2017
Metastability in Senescence journal July 2017
Molecular dynamics simulations journal April 2002
Metastability in the Classical, Truncated Becker–DÖRing Equations journal October 2002
Metastability for a generalized Burgers equation with applications to propagating flame fronts journal February 1999
Exact stochastic simulation of coupled chemical reactions journal December 1977
Markov State Models: From an Art to a Science journal February 2018
Revealing the Statistics of Extreme Events Hidden in Short Weather Forecast Data journal March 2023
Molecular dynamics simulations in biology journal October 1990
Molecular dynamics simulations of biomolecules journal September 2002
Disrupted global metastability and static and dynamic brain connectivity across individuals in the Alzheimer’s disease continuum journal January 2017
Jump Markov models and transition state theory: the quasi-stationary distribution approach journal January 2016
Practical rare event sampling for extreme mesoscale weather
  • Webber, Robert J.; Plotkin, David A.; O’Neill, Morgan E.
  • Chaos: An Interdisciplinary Journal of Nonlinear Science, Vol. 29, Issue 5 https://doi.org/10.1063/1.5081461
journal May 2019
On the advantages of exploiting memory in Markov state models for biomolecular dynamics journal July 2020
Computing generalized Langevin equations and generalized Fokker-Planck equations journal June 2009
Making Complexity Simpler: Multivariability and Metastability in the Brain journal January 2004
An analysis of numerical approximations of metastable solutions of the bistable equation journal September 1994
Critical Branching Captures Activity in Living Neural Networks and Maximizes the Number of Metastable States journal February 2005
Complexity, segregation, and pattern formation in rotating-drum flows journal November 2011
Data-Driven Learning for the Mori--Zwanzig Formalism: A Generalization of the Koopman Learning Framework journal January 2021
Accelerated dynamics: Mathematical foundations and algorithmic improvements journal June 2015
Data-Driven Transition Path Analysis Yields a Statistical Understanding of Sudden Stratospheric Warming Events in an Idealized Model journal February 2023
Molecular dynamics simulations and drug discovery journal October 2011
General criteria for the study of quasi-stationarity journal January 2023
On the Distribution of the Two-Sample Cramer-von Mises Criterion journal September 1962
Exceptional Paper—Markov Renewal Theory: A Survey journal March 1975
Cognitive Flexibility through Metastable Neural Dynamics Is Disrupted by Damage to the Structural Connectome journal June 2015
Molecular dynamics simulations: advances and applications journal November 2015

Similar Records

Incorporation of memory effects in coarse-grained modeling via the Mori-Zwanzig formalism
Journal Article · Sun Dec 27 23:00:00 EST 2015 · Journal of Chemical Physics · OSTI ID:22493375

A comparative study of coarse-graining methods for polymeric fluids: Mori-Zwanzig vs. iterative Boltzmann inversion vs. stochastic parametric optimization
Journal Article · Mon Jul 25 00:00:00 EDT 2016 · Journal of Chemical Physics · OSTI ID:1356514

A comparative study of coarse-graining methods for polymeric fluids: Mori-Zwanzig vs. iterative Boltzmann inversion vs. stochastic parametric optimization
Journal Article · Thu Jul 28 00:00:00 EDT 2016 · Journal of Chemical Physics · OSTI ID:22679038