Literature DB >> 16853756

Nanoparticle dynamics: a multiscale analysis of the Liouville equation.

Peter J Ortoleva1.   

Abstract

A theory of nanoparticle dynamics based on scaling arguments and the Liouville equation is presented. We start with a delineation of the scales characterizing the behavior of the nanoparticle/host fluid system. Asymptotic expansions, multiple time and space scale techniques, the resulting coarse-grained dynamics of the probability densities of the Fokker-Planck-Chandrasekhar (FPC) type for the nanoparticle(s), and the hydrodynamic models of the host medium are obtained. Collections of nanoparticles are considered so that problems such as viral self-assembly and the transition from a particle suspension to a solid porous matrix can be addressed via a deductive approach that starts with the Liouville equation and a calibrated atomic force field, and yields a generalized FPC equation. Extensions allowing for the investigation of the rotation and deformation of the nanoparticles are considered in the context of the space-warping formalism. Thermodynamic forces and dissipative effects are accounted for. The notion of configuration-dependent drag coefficients and their implications for coagulation and consolidation are shown to be natural consequences of the analysis. All results are obtained via formal asymptotic expansions in mass, size, and other physical and kinetic parameter ratios.

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Year:  2005        PMID: 16853756     DOI: 10.1021/jp051381b

Source DB:  PubMed          Journal:  J Phys Chem B        ISSN: 1520-5207            Impact factor:   2.991


  13 in total

1.  Hierarchical Order Parameters for Macromolecular Assembly Simulations I: Construction and Dynamical Properties of Order Parameters.

Authors:  Abhishek Singharoy; Yuriy Sereda; Peter J Ortoleva
Journal:  J Chem Theory Comput       Date:  2012-03-13       Impact factor: 6.006

2.  Multiscaling for systems with a broad continuum of characteristic lengths and times: Structural transitions in nanocomposites.

Authors:  S Pankavich; P Ortoleva
Journal:  J Math Phys       Date:  2010-06-28       Impact factor: 1.488

3.  Multiscale analytic continuation approach to nanosystem simulation: applications to virus electrostatics.

Authors:  Abhishek Singharoy; Anastasia M Yesnik; Peter Ortoleva
Journal:  J Chem Phys       Date:  2010-05-07       Impact factor: 3.488

4.  Stochastic dynamics of bionanosystems: Multiscale analysis and specialized ensembles.

Authors:  S Pankavich; Y Miao; J Ortoleva; Z Shreif; P Ortoleva
Journal:  J Chem Phys       Date:  2008-06-21       Impact factor: 3.488

5.  Order parameters for macromolecules: application to multiscale simulation.

Authors:  A Singharoy; S Cheluvaraja; P Ortoleva
Journal:  J Chem Phys       Date:  2011-01-28       Impact factor: 3.488

6.  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

7.  Discovering free energy basins for macromolecular systems via guided multiscale simulation.

Authors:  Yuriy V Sereda; Abhishek B Singharoy; Martin F Jarrold; Peter J Ortoleva
Journal:  J Phys Chem B       Date:  2012-03-30       Impact factor: 2.991

8.  Nanosystem self-assembly pathways discovered via all-atom multiscale analysis.

Authors:  Stephen D Pankavich; Peter J Ortoleva
Journal:  J Phys Chem B       Date:  2012-03-21       Impact factor: 2.991

9.  Variational methods for time-dependent classical many-particle systems.

Authors:  Yuriy V Sereda; Peter J Ortoleva
Journal:  Physica A       Date:  2013-02-15       Impact factor: 3.263

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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