Literature DB >> 28789543

Temperature extrapolation of multicomponent grand canonical free energy landscapes.

Nathan A Mahynski1, Jeffrey R Errington2, Vincent K Shen1.   

Abstract

We derive a method for extrapolating the grand canonical free energy landscape of a multicomponent fluid system from one temperature to another. Previously, we introduced this statistical mechanical framework for the case where kinetic energy contributions to the classical partition function were neglected for simplicity [N. A. Mahynski et al., J. Chem. Phys. 146, 074101 (2017)]. Here, we generalize the derivation to admit these contributions in order to explicitly illustrate the differences that result. Specifically, we show how factoring out kinetic energy effects a priori, in order to consider only the configurational partition function, leads to simpler mathematical expressions that tend to produce more accurate extrapolations than when these effects are included. We demonstrate this by comparing and contrasting these two approaches for the simple cases of an ideal gas and a non-ideal, square-well fluid.

Entities:  

Year:  2017        PMID: 28789543      PMCID: PMC5840807          DOI: 10.1063/1.4996759

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


  9 in total

1.  Optimized Monte Carlo data analysis.

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Journal:  Phys Rev Lett       Date:  1989-09-18       Impact factor: 9.161

2.  Excess entropy scaling of dynamic quantities for fluids of dumbbell-shaped particles.

Authors:  Ravi Chopra; Thomas M Truskett; Jeffrey R Errington
Journal:  J Chem Phys       Date:  2010-09-14       Impact factor: 3.488

3.  Monte Carlo Simulation Methods for Computing Liquid-Vapor Saturation Properties of Model Systems.

Authors:  Kaustubh S Rane; Sabharish Murali; Jeffrey R Errington
Journal:  J Chem Theory Comput       Date:  2013-05-30       Impact factor: 6.006

4.  Determination of fluid-phase behavior using transition-matrix Monte Carlo: binary Lennard-Jones mixtures.

Authors:  Vincent K Shen; Jeffrey R Errington
Journal:  J Chem Phys       Date:  2005-02-08       Impact factor: 3.488

5.  Direct evaluation of multicomponent phase equilibria using flat-histogram methods.

Authors:  Jeffrey R Errington; Vincent K Shen
Journal:  J Chem Phys       Date:  2005-10-22       Impact factor: 3.488

6.  On the use of excess entropy scaling to describe single-molecule and collective dynamic properties of hydrocarbon isomer fluids.

Authors:  Ravi Chopra; Thomas M Truskett; Jeffrey R Errington
Journal:  J Phys Chem B       Date:  2010-11-22       Impact factor: 2.991

7.  Critical-point and coexistence-curve properties of the Lennard-Jones fluid: A finite-size scaling study.

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Journal:  Phys Rev E Stat Phys Plasmas Fluids Relat Interdiscip Topics       Date:  1995-07

8.  Predicting low-temperature free energy landscapes with flat-histogram Monte Carlo methods.

Authors:  Nathan A Mahynski; Marco A Blanco; Jeffrey R Errington; Vincent K Shen
Journal:  J Chem Phys       Date:  2017-02-21       Impact factor: 3.488

9.  Multicomponent adsorption in mesoporous flexible materials with flat-histogram Monte Carlo methods.

Authors:  Nathan A Mahynski; Vincent K Shen
Journal:  J Chem Phys       Date:  2016-11-07       Impact factor: 3.488

  9 in total
  5 in total

1.  Communication: Predicting virial coefficients and alchemical transformations by extrapolating Mayer-sampling Monte Carlo simulations.

Authors:  Harold W Hatch; Sally Jiao; Nathan A Mahynski; Marco A Blanco; Vincent K Shen
Journal:  J Chem Phys       Date:  2017-12-21       Impact factor: 3.488

2.  Multivariable extrapolation of grand canonical free energy landscapes.

Authors:  Nathan A Mahynski; Jeffrey R Errington; Vincent K Shen
Journal:  J Chem Phys       Date:  2017-12-21       Impact factor: 3.488

3.  Extrapolation and interpolation strategies for efficiently estimating structural observables as a function of temperature and density.

Authors:  Jacob I Monroe; Harold W Hatch; Nathan A Mahynski; M Scott Shell; Vincent K Shen
Journal:  J Chem Phys       Date:  2020-10-14       Impact factor: 3.488

4.  Flat-Histogram Monte Carlo as an Efficient Tool To Evaluate Adsorption Processes Involving Rigid and Deformable Molecules.

Authors:  Matthew Witman; Nathan A Mahynski; Berend Smit
Journal:  J Chem Theory Comput       Date:  2018-11-27       Impact factor: 6.006

5.  Predicting structural properties of fluids by thermodynamic extrapolation.

Authors:  Nathan A Mahynski; Sally Jiao; Harold W Hatch; Marco A Blanco; Vincent K Shen
Journal:  J Chem Phys       Date:  2018-05-21       Impact factor: 3.488

  5 in total

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