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Molecular Dynamics Simulations of Ionic Liquids and Electrolytes Using Polarizable Force Fields
[Image: see text] Many applications in chemistry, biology, and energy storage/conversion research rely on molecular simulations to provide fundamental insight into structural and transport properties of materials with high ionic concentrations. Whether the system is comprised entirely of ions, like...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Chemical Society
2019
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6620131/ https://www.ncbi.nlm.nih.gov/pubmed/31141351 http://dx.doi.org/10.1021/acs.chemrev.8b00763 |
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author | Bedrov, Dmitry Piquemal, Jean-Philip Borodin, Oleg MacKerell, Alexander D. Roux, Benoît Schröder, Christian |
author_facet | Bedrov, Dmitry Piquemal, Jean-Philip Borodin, Oleg MacKerell, Alexander D. Roux, Benoît Schröder, Christian |
author_sort | Bedrov, Dmitry |
collection | PubMed |
description | [Image: see text] Many applications in chemistry, biology, and energy storage/conversion research rely on molecular simulations to provide fundamental insight into structural and transport properties of materials with high ionic concentrations. Whether the system is comprised entirely of ions, like ionic liquids, or is a mixture of a polar solvent with a salt, e.g., liquid electrolytes for battery applications, the presence of ions in these materials results in strong local electric fields polarizing solvent molecules and large ions. To predict properties of such systems from molecular simulations often requires either explicit or mean-field inclusion of the influence of polarization on electrostatic interactions. In this manuscript, we review the pros and cons of different treatments of polarization ranging from the mean-field approaches to the most popular explicit polarization models in molecular dynamics simulations of ionic materials. For each method, we discuss their advantages and disadvantages and emphasize key assumptions as well as their adjustable parameters. Strategies for the development of polarizable models are presented with a specific focus on extracting atomic polarizabilities. Finally, we compare simulations using polarizable and nonpolarizable models for several classes of ionic systems, discussing the underlying physics that each approach includes or ignores, implications for implementation and computational efficiency, and the accuracy of properties predicted by these methods compared to experiments. |
format | Online Article Text |
id | pubmed-6620131 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | American Chemical Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-66201312019-10-08 Molecular Dynamics Simulations of Ionic Liquids and Electrolytes Using Polarizable Force Fields Bedrov, Dmitry Piquemal, Jean-Philip Borodin, Oleg MacKerell, Alexander D. Roux, Benoît Schröder, Christian Chem Rev [Image: see text] Many applications in chemistry, biology, and energy storage/conversion research rely on molecular simulations to provide fundamental insight into structural and transport properties of materials with high ionic concentrations. Whether the system is comprised entirely of ions, like ionic liquids, or is a mixture of a polar solvent with a salt, e.g., liquid electrolytes for battery applications, the presence of ions in these materials results in strong local electric fields polarizing solvent molecules and large ions. To predict properties of such systems from molecular simulations often requires either explicit or mean-field inclusion of the influence of polarization on electrostatic interactions. In this manuscript, we review the pros and cons of different treatments of polarization ranging from the mean-field approaches to the most popular explicit polarization models in molecular dynamics simulations of ionic materials. For each method, we discuss their advantages and disadvantages and emphasize key assumptions as well as their adjustable parameters. Strategies for the development of polarizable models are presented with a specific focus on extracting atomic polarizabilities. Finally, we compare simulations using polarizable and nonpolarizable models for several classes of ionic systems, discussing the underlying physics that each approach includes or ignores, implications for implementation and computational efficiency, and the accuracy of properties predicted by these methods compared to experiments. American Chemical Society 2019-05-29 2019-07-10 /pmc/articles/PMC6620131/ /pubmed/31141351 http://dx.doi.org/10.1021/acs.chemrev.8b00763 Text en Copyright © 2019 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 | Bedrov, Dmitry Piquemal, Jean-Philip Borodin, Oleg MacKerell, Alexander D. Roux, Benoît Schröder, Christian Molecular Dynamics Simulations of Ionic Liquids and Electrolytes Using Polarizable Force Fields |
title | Molecular Dynamics Simulations of Ionic Liquids and
Electrolytes Using Polarizable Force Fields |
title_full | Molecular Dynamics Simulations of Ionic Liquids and
Electrolytes Using Polarizable Force Fields |
title_fullStr | Molecular Dynamics Simulations of Ionic Liquids and
Electrolytes Using Polarizable Force Fields |
title_full_unstemmed | Molecular Dynamics Simulations of Ionic Liquids and
Electrolytes Using Polarizable Force Fields |
title_short | Molecular Dynamics Simulations of Ionic Liquids and
Electrolytes Using Polarizable Force Fields |
title_sort | molecular dynamics simulations of ionic liquids and
electrolytes using polarizable force fields |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6620131/ https://www.ncbi.nlm.nih.gov/pubmed/31141351 http://dx.doi.org/10.1021/acs.chemrev.8b00763 |
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