Literature DB >> 16942186

All-atom multiscaling and new ensembles for dynamical nanoparticles.

Yinglong Miao1, Peter Ortoleva.   

Abstract

Viruses and other nanoparticles have mixed microscopic/macroscopic character. Thus it is natural to develop an understanding of their dynamics via a multiscale analysis of the Liouville equation following prescriptions introduced for the study of Brownian motion. However, the internal dynamics of the atoms constituting a nanoparticle introduces conceptual and technical difficulties associated with a description involving both the atomistic and nanometer scale properties of these systems and the potential overcounting of degrees of freedom. To overcome these difficulties we introduce a "nanocanonical" ensemble method to facilitate the multiscale analysis of the all-atom Liouville equation. Our approach overcomes technical difficulties associated with the removal of secular behavior, which leads to Fokker-Planck-type equations. Our approach ensures removal of all secular behavior in the N-atom probability density and not just that of a reduced distribution. Being based on a calibrated interatomic force field, our method has the potential to yield parameter-free universal models for nanoparticle dynamics including viral migration in complex media and viral phase transitions and disassembly.

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Year:  2006        PMID: 16942186     DOI: 10.1063/1.2218838

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


  12 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.  Thermal nanostructure: an order parameter multiscale ensemble approach.

Authors:  S Cheluvaraja; P Ortoleva
Journal:  J Chem Phys       Date:  2010-02-21       Impact factor: 3.488

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.  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

10.  Molecular dynamics/order parameter extrapolation for bionanosystem simulations.

Authors:  Yinglong Miao; Peter J Ortoleva
Journal:  J Comput Chem       Date:  2009-02       Impact factor: 3.376

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