Cargando…

Estimates of Electrical Conductivity from Molecular Dynamics Simulations: How to Invest the Computational Effort

[Image: see text] Although the electrical conductivity of an electrolyte can be estimated from the molecular dynamics trajectory, it is often a challenging task because of the need to obtain a substantial amount of data to ensure sufficient averaging. Here, we present an analysis on the convergence...

Descripción completa

Detalles Bibliográficos
Autores principales: Kubisiak, Piotr, Eilmes, Andrzej
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2020
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7604855/
https://www.ncbi.nlm.nih.gov/pubmed/33063509
http://dx.doi.org/10.1021/acs.jpcb.0c07704
_version_ 1783604203989499904
author Kubisiak, Piotr
Eilmes, Andrzej
author_facet Kubisiak, Piotr
Eilmes, Andrzej
author_sort Kubisiak, Piotr
collection PubMed
description [Image: see text] Although the electrical conductivity of an electrolyte can be estimated from the molecular dynamics trajectory, it is often a challenging task because of the need to obtain a substantial amount of data to ensure sufficient averaging. Here, we present an analysis on the convergence of results with the number of simulated trajectories. A series of molecular dynamics simulations have been performed for a model electrolyte (NaCl in water) and the Einstein relation has been used to calculate the electrical conductivity. The standard deviation of the conductivity estimates is relatively large compared to the mean value, and it has been shown that the off-diagonal contributions to the collective displacement of ions are responsible for large deviations between systems. It has been found that about 40 independent MD simulations may be required to reduce the errors. A procedure to improve the final estimate of the conductivity has been proposed.
format Online
Article
Text
id pubmed-7604855
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher American Chemical Society
record_format MEDLINE/PubMed
spelling pubmed-76048552020-11-03 Estimates of Electrical Conductivity from Molecular Dynamics Simulations: How to Invest the Computational Effort Kubisiak, Piotr Eilmes, Andrzej J Phys Chem B [Image: see text] Although the electrical conductivity of an electrolyte can be estimated from the molecular dynamics trajectory, it is often a challenging task because of the need to obtain a substantial amount of data to ensure sufficient averaging. Here, we present an analysis on the convergence of results with the number of simulated trajectories. A series of molecular dynamics simulations have been performed for a model electrolyte (NaCl in water) and the Einstein relation has been used to calculate the electrical conductivity. The standard deviation of the conductivity estimates is relatively large compared to the mean value, and it has been shown that the off-diagonal contributions to the collective displacement of ions are responsible for large deviations between systems. It has been found that about 40 independent MD simulations may be required to reduce the errors. A procedure to improve the final estimate of the conductivity has been proposed. American Chemical Society 2020-10-16 2020-10-29 /pmc/articles/PMC7604855/ /pubmed/33063509 http://dx.doi.org/10.1021/acs.jpcb.0c07704 Text en © 2020 American Chemical Society This is an open access article published under a Creative Commons Attribution (CC-BY) License (http://pubs.acs.org/page/policy/authorchoice_ccby_termsofuse.html) , which permits unrestricted use, distribution and reproduction in any medium, provided the author and source are cited.
spellingShingle Kubisiak, Piotr
Eilmes, Andrzej
Estimates of Electrical Conductivity from Molecular Dynamics Simulations: How to Invest the Computational Effort
title Estimates of Electrical Conductivity from Molecular Dynamics Simulations: How to Invest the Computational Effort
title_full Estimates of Electrical Conductivity from Molecular Dynamics Simulations: How to Invest the Computational Effort
title_fullStr Estimates of Electrical Conductivity from Molecular Dynamics Simulations: How to Invest the Computational Effort
title_full_unstemmed Estimates of Electrical Conductivity from Molecular Dynamics Simulations: How to Invest the Computational Effort
title_short Estimates of Electrical Conductivity from Molecular Dynamics Simulations: How to Invest the Computational Effort
title_sort estimates of electrical conductivity from molecular dynamics simulations: how to invest the computational effort
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7604855/
https://www.ncbi.nlm.nih.gov/pubmed/33063509
http://dx.doi.org/10.1021/acs.jpcb.0c07704
work_keys_str_mv AT kubisiakpiotr estimatesofelectricalconductivityfrommoleculardynamicssimulationshowtoinvestthecomputationaleffort
AT eilmesandrzej estimatesofelectricalconductivityfrommoleculardynamicssimulationshowtoinvestthecomputationaleffort