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Title: The G‐JF Thermostat for Accurate Configurational Sampling in Soft‐Matter Simulations

Abstract

Abstract We implement the statistically sound G‐JF thermostat for Langevin dynamics simulations into the ESPResSo molecular package for large‐scale simulations of soft‐matter systems. The implemented integration method is tested against the integrator currently used by the molecular package in simulations of a fluid bilayer membrane. While the latter exhibits deviations in the sampling statistics that increase with the integration time step dt , the former reproduces near‐correct configurational statistics for all dt within the stability range of the simulations. We conclude that, with very modest revisions to existing codes, one can significantly improve the performance of statistical sampling using Langevin thermostats.

Authors:
 [1];  [2];  [3]
  1. Department of Biomedical Engineering Ben Gurion University of the Negev Be'er Sheva 84105 Israel
  2. Department of Biomedical Engineering Ben Gurion University of the Negev Be'er Sheva 84105 Israel, Ilse Katz Institute for Nanoscale Science and Technology Ben Gurion University of the Negev Be'er Sheva 84105 Israel
  3. Department of Mechanical and Aerospace Engineering University of California Davis CA 95616 USA, Department of Mathematics University of California Davis CA 95616 USA
Publication Date:
Sponsoring Org.:
USDOE
OSTI Identifier:
1400747
Grant/Contract Number:  
NE0000536 000
Resource Type:
Publisher's Accepted Manuscript
Journal Name:
Israel Journal of Chemistry
Additional Journal Information:
Journal Name: Israel Journal of Chemistry Journal Volume: 56 Journal Issue: 8; Journal ID: ISSN 0021-2148
Publisher:
Wiley Blackwell (John Wiley & Sons)
Country of Publication:
Israel
Language:
English

Citation Formats

Arad, Evyatar, Farago, Oded, and Grønbech‐Jensen, Niels. The G‐JF Thermostat for Accurate Configurational Sampling in Soft‐Matter Simulations. Israel: N. p., 2016. Web. doi:10.1002/ijch.201500067.
Arad, Evyatar, Farago, Oded, & Grønbech‐Jensen, Niels. The G‐JF Thermostat for Accurate Configurational Sampling in Soft‐Matter Simulations. Israel. https://doi.org/10.1002/ijch.201500067
Arad, Evyatar, Farago, Oded, and Grønbech‐Jensen, Niels. Thu . "The G‐JF Thermostat for Accurate Configurational Sampling in Soft‐Matter Simulations". Israel. https://doi.org/10.1002/ijch.201500067.
@article{osti_1400747,
title = {The G‐JF Thermostat for Accurate Configurational Sampling in Soft‐Matter Simulations},
author = {Arad, Evyatar and Farago, Oded and Grønbech‐Jensen, Niels},
abstractNote = {Abstract We implement the statistically sound G‐JF thermostat for Langevin dynamics simulations into the ESPResSo molecular package for large‐scale simulations of soft‐matter systems. The implemented integration method is tested against the integrator currently used by the molecular package in simulations of a fluid bilayer membrane. While the latter exhibits deviations in the sampling statistics that increase with the integration time step dt , the former reproduces near‐correct configurational statistics for all dt within the stability range of the simulations. We conclude that, with very modest revisions to existing codes, one can significantly improve the performance of statistical sampling using Langevin thermostats.},
doi = {10.1002/ijch.201500067},
journal = {Israel Journal of Chemistry},
number = 8,
volume = 56,
place = {Israel},
year = {Thu Apr 07 00:00:00 EDT 2016},
month = {Thu Apr 07 00:00:00 EDT 2016}
}

Journal Article:
Free Publicly Available Full Text
Publisher's Version of Record
https://doi.org/10.1002/ijch.201500067

Citation Metrics:
Cited by: 12 works
Citation information provided by
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Works referenced in this record:

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