Literature DB >> 33071357

pyPRISM: A Computational Tool for Liquid-State Theory Calculations of Macromolecular Materials.

Tyler B Martin1, Thomas E Gartner2, Ronald L Jones1, Chad R Snyder1, Arthi Jayaraman2,3.   

Abstract

The Polymer Reference Interaction Site Model (PRISM) theory describes the equilibrium spatial-correlations of liquid-like polymer systems including melts, blends, solutions, block copolymers, ionomers, liquid crystalline polymers, and nanocomposites. Using PRISM theory, one can calculate thermodynamic (second virial coefficients, Flory-Huggins χ interaction parameters, potentials of mean force) and structural (pair correlation functions, structure factors) data for these macromolecular materials. Here, we present a Python-based, open-source framework, pyPRISM, for conducting PRISM theory calculations. This framework aims to simplify PRISM-based studies by providing a user-friendly scripting interface for setting up and numerically solving the PRISM equations. pyPRISM also provides data structures, functions, and classes that streamline PRISM calculations, allowing pyPRISM to be extended for use in other tasks, such as the coarse-graining of atomistic simulation force-fields or the modeling of experimental scattering data. The goal of this framework is to reduce the barrier to correctly and appropriately using PRISM theory and to provide a platform for rapid calculations of the structure and thermodynamics of polymeric fluids and nanocomposites.

Entities:  

Year:  2018        PMID: 33071357      PMCID: PMC7560969     

Source DB:  PubMed          Journal:  Macromolecules        ISSN: 0024-9297            Impact factor:   5.985


  55 in total

1.  Theory of glassy dynamics in conformationally anisotropic polymer systems.

Authors:  Folusho T Oyerokun; Kenneth S Schweizer
Journal:  J Chem Phys       Date:  2005-12-08       Impact factor: 3.488

2.  Thermodynamics, orientational order and elasticity of strained liquid crystalline melts and elastomers.

Authors:  Folusho T Oyerokun; Kenneth S Schweizer
Journal:  J Phys Chem B       Date:  2005-04-14       Impact factor: 2.991

3.  Chain conformations and bound-layer correlations in polymer nanocomposites.

Authors:  Sudeepto Sen; Yuping Xie; Sanat K Kumar; Hoichang Yang; Amitabh Bansal; Derek L Ho; Lisa Hall; Justin B Hooper; Kenneth S Schweizer
Journal:  Phys Rev Lett       Date:  2007-03-22       Impact factor: 9.161

Review 4.  Liquid state theory of polyelectrolyte solutions.

Authors:  Arun Yethiraj
Journal:  J Phys Chem B       Date:  2009-02-12       Impact factor: 2.991

5.  Effect of attractive interactions between polymers on the effective force acting between colloids immersed in a polymer system: Analytic liquid-state theory.

Authors:  A I Chervanyov
Journal:  J Chem Phys       Date:  2016-12-28       Impact factor: 3.488

6.  Systematic and simulation-free coarse graining of homopolymer melts: a structure-based study.

Authors:  Delian Yang; Qiang Wang
Journal:  J Chem Phys       Date:  2015-02-07       Impact factor: 3.488

7.  MDAnalysis: a toolkit for the analysis of molecular dynamics simulations.

Authors:  Naveen Michaud-Agrawal; Elizabeth J Denning; Thomas B Woolf; Oliver Beckstein
Journal:  J Comput Chem       Date:  2011-04-15       Impact factor: 3.376

8.  Effect of bidispersity in grafted chain length on grafted chain conformations and potential of mean force between polymer grafted nanoparticles in a homopolymer matrix.

Authors:  Nitish Nair; Nathaniel Wentzel; Arthi Jayaraman
Journal:  J Chem Phys       Date:  2011-05-21       Impact factor: 3.488

9.  Polydispersity for tuning the potential of mean force between polymer grafted nanoparticles in a polymer matrix.

Authors:  Tyler B Martin; Paul M Dodd; Arthi Jayaraman
Journal:  Phys Rev Lett       Date:  2013-01-02       Impact factor: 9.161

10.  Effective potentials for representing polymers in melts as chains of interacting soft particles.

Authors:  A J Clark; J McCarty; M G Guenza
Journal:  J Chem Phys       Date:  2013-09-28       Impact factor: 3.488

View more
  1 in total

1.  Integration of Machine Learning and Coarse-Grained Molecular Simulations for Polymer Materials: Physical Understandings and Molecular Design.

Authors:  Danh Nguyen; Lei Tao; Ying Li
Journal:  Front Chem       Date:  2022-01-24       Impact factor: 5.221

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.