Cargando…
Ionic Liquids: A Simple Model to Predict Ion Conductivity Based on DFT Derived Physical Parameters
A model able to a priori predict ion conductivities of ionic liquids (ILs) is a desired design tool. We here propose a set of simple conductivity models for ILs composed of small ions by only using data easily derived from standard DFT calculations as input; ion volume, ion mass, ion moment of inert...
Autores principales: | , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6423347/ https://www.ncbi.nlm.nih.gov/pubmed/30931299 http://dx.doi.org/10.3389/fchem.2019.00126 |
_version_ | 1783404517323177984 |
---|---|
author | Nilsson-Hallén, Jonathan Ahlström, Bodil Marczewski, Maciej Johansson, Patrik |
author_facet | Nilsson-Hallén, Jonathan Ahlström, Bodil Marczewski, Maciej Johansson, Patrik |
author_sort | Nilsson-Hallén, Jonathan |
collection | PubMed |
description | A model able to a priori predict ion conductivities of ionic liquids (ILs) is a desired design tool. We here propose a set of simple conductivity models for ILs composed of small ions by only using data easily derived from standard DFT calculations as input; ion volume, ion mass, ion moment of inertia, and the ion-ion interaction strength. Hence these simple models are totally without any need for experimental parametrization. All model are made from fits of 22 ILs based on 12 different cations and 5 different anions, resulting in correlations vs. experiment of R(2)≈0.95 and MAE of 25–36%. Given their (very) simple layout and how fast they can be applied (and re-used), the models allow for ample screening of new IL designs, while not aimed for perfect predictions per se. |
format | Online Article Text |
id | pubmed-6423347 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-64233472019-03-29 Ionic Liquids: A Simple Model to Predict Ion Conductivity Based on DFT Derived Physical Parameters Nilsson-Hallén, Jonathan Ahlström, Bodil Marczewski, Maciej Johansson, Patrik Front Chem Chemistry A model able to a priori predict ion conductivities of ionic liquids (ILs) is a desired design tool. We here propose a set of simple conductivity models for ILs composed of small ions by only using data easily derived from standard DFT calculations as input; ion volume, ion mass, ion moment of inertia, and the ion-ion interaction strength. Hence these simple models are totally without any need for experimental parametrization. All model are made from fits of 22 ILs based on 12 different cations and 5 different anions, resulting in correlations vs. experiment of R(2)≈0.95 and MAE of 25–36%. Given their (very) simple layout and how fast they can be applied (and re-used), the models allow for ample screening of new IL designs, while not aimed for perfect predictions per se. Frontiers Media S.A. 2019-03-12 /pmc/articles/PMC6423347/ /pubmed/30931299 http://dx.doi.org/10.3389/fchem.2019.00126 Text en Copyright © 2019 Nilsson-Hallén, Ahlström, Marczewski and Johansson. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Chemistry Nilsson-Hallén, Jonathan Ahlström, Bodil Marczewski, Maciej Johansson, Patrik Ionic Liquids: A Simple Model to Predict Ion Conductivity Based on DFT Derived Physical Parameters |
title | Ionic Liquids: A Simple Model to Predict Ion Conductivity Based on DFT Derived Physical Parameters |
title_full | Ionic Liquids: A Simple Model to Predict Ion Conductivity Based on DFT Derived Physical Parameters |
title_fullStr | Ionic Liquids: A Simple Model to Predict Ion Conductivity Based on DFT Derived Physical Parameters |
title_full_unstemmed | Ionic Liquids: A Simple Model to Predict Ion Conductivity Based on DFT Derived Physical Parameters |
title_short | Ionic Liquids: A Simple Model to Predict Ion Conductivity Based on DFT Derived Physical Parameters |
title_sort | ionic liquids: a simple model to predict ion conductivity based on dft derived physical parameters |
topic | Chemistry |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6423347/ https://www.ncbi.nlm.nih.gov/pubmed/30931299 http://dx.doi.org/10.3389/fchem.2019.00126 |
work_keys_str_mv | AT nilssonhallenjonathan ionicliquidsasimplemodeltopredictionconductivitybasedondftderivedphysicalparameters AT ahlstrombodil ionicliquidsasimplemodeltopredictionconductivitybasedondftderivedphysicalparameters AT marczewskimaciej ionicliquidsasimplemodeltopredictionconductivitybasedondftderivedphysicalparameters AT johanssonpatrik ionicliquidsasimplemodeltopredictionconductivitybasedondftderivedphysicalparameters |