Literature DB >> 20365672

Direct construction of mesoscopic models from microscopic simulations.

Huan Lei1, Bruce Caswell, George Em Karniadakis.   

Abstract

Starting from microscopic molecular-dynamics (MD) simulations of constrained Lennard-Jones (LJ) clusters (with constant radius of gyration R(g)), we construct two mesoscopic models [Langevin dynamics and dissipative particle dynamics (DPD)] by coarse graining the LJ clusters into single particles. Both static and dynamic properties of the coarse-grained models are investigated and compared with the MD results. The effective mean force field is computed as a function of the intercluster distance, and the corresponding potential scales linearly with the number of particles per cluster and the temperature. We verify that the mean force field can reproduce the equation of state of the atomistic systems within a wide density range but the radial distribution function only within the dilute and the semidilute regime. The friction force coefficients for both models are computed directly from the time-correlation function of the random force field of the microscopic system. For high density or a large cluster size the friction force is overestimated and the diffusivity underestimated due to the omission of many-body effects as a result of the assumed pairwise form of the coarse-grained force field. When the many-body effect is not as pronounced (e.g., smaller R(g) or semidilute system), the DPD model can reproduce the dynamic properties of the MD system.

Entities:  

Year:  2010        PMID: 20365672      PMCID: PMC3693397          DOI: 10.1103/PhysRevE.81.026704

Source DB:  PubMed          Journal:  Phys Rev E Stat Nonlin Soft Matter Phys        ISSN: 1539-3755


  11 in total

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4.  Equation of motion for coarse-grained simulation based on microscopic description.

Authors:  Tomoyuki Kinjo; Shi-aki Hyodo
Journal:  Phys Rev E Stat Nonlin Soft Matter Phys       Date:  2007-05-11

5.  Comparison of dissipative particle dynamics and Langevin thermostats for out-of-equilibrium simulations of polymeric systems.

Authors:  C Pastorino; T Kreer; M Müller; K Binder
Journal:  Phys Rev E Stat Nonlin Soft Matter Phys       Date:  2007-08-24

6.  Using force covariance to derive effective stochastic interactions in dissipative particle dynamics.

Authors:  Anders Eriksson; Martin Nilsson Jacobi; Johan Nyström; Kolbjørn Tunstrøm
Journal:  Phys Rev E Stat Nonlin Soft Matter Phys       Date:  2008-01-16

7.  Coarse graining and scaling in dissipative particle dynamics.

Authors:  Rudolf M Füchslin; Harold Fellermann; Anders Eriksson; Hans-Joachim Ziock
Journal:  J Chem Phys       Date:  2009-06-07       Impact factor: 3.488

8.  Coarse-grained single-particle dynamics in two-dimensional solids and liquids.

Authors:  Jörg R Silbermann; Martin Schoen; Sabine H L Klapp
Journal:  Phys Rev E Stat Nonlin Soft Matter Phys       Date:  2008-07-16

9.  Calculation of effective interaction potentials from radial distribution functions: A reverse Monte Carlo approach.

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10.  Can polymer coils Be modeled as "Soft colloids"?

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  19 in total

1.  Quantifying the rheological and hemodynamic characteristics of sickle cell anemia.

Authors:  Huan Lei; George Em Karniadakis
Journal:  Biophys J       Date:  2012-01-18       Impact factor: 4.033

2.  Time-dependent and outflow boundary conditions for Dissipative Particle Dynamics.

Authors:  Huan Lei; Dmitry A Fedosov; George Em Karniadakis
Journal:  J Comput Phys       Date:  2011-05-31       Impact factor: 3.553

3.  Probing vasoocclusion phenomena in sickle cell anemia via mesoscopic simulations.

Authors:  Huan Lei; George E Karniadakis
Journal:  Proc Natl Acad Sci U S A       Date:  2013-06-24       Impact factor: 11.205

4.  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

5.  Blood-plasma separation in Y-shaped bifurcating microfluidic channels: a dissipative particle dynamics simulation study.

Authors:  Xuejin Li; Aleksander S Popel; George Em Karniadakis
Journal:  Phys Biol       Date:  2012-04-04       Impact factor: 2.583

6.  Probing red blood cell mechanics, rheology and dynamics with a two-component multi-scale model.

Authors:  Xuejin Li; Zhangli Peng; Huan Lei; Ming Dao; George Em Karniadakis
Journal:  Philos Trans A Math Phys Eng Sci       Date:  2014-08-06       Impact factor: 4.226

7.  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

8.  Multiscale modeling and simulation of brain blood flow.

Authors:  Paris Perdikaris; Leopold Grinberg; George Em Karniadakis
Journal:  Phys Fluids (1994)       Date:  2016-02-08       Impact factor: 3.521

9.  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

10.  Blood flow in small tubes: quantifying the transition to the non-continuum regime.

Authors:  Huan Lei; Dmitry A Fedosov; Bruce Caswell; George Em Karniadakis
Journal:  J Fluid Mech       Date:  2013-05-01       Impact factor: 3.627

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