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Pushing the boundaries of lithium battery research with atomistic modelling on different scales

Pushing the boundaries of lithium battery research with atomistic modelling on different scales
Pushing the boundaries of lithium battery research with atomistic modelling on different scales
Computational modelling is a vital tool in the research of batteries and their component materials. Atomistic models are key to building truly physics-based models of batteries and form the foundation of the multiscale modelling chain, leading to more robust and predictive models. These models can be applied to fundamental research questions with high predictive accuracy. For example, they can be used to predict new behaviour not currently accessible by experiment, for reasons of cost, safety, or throughput. Atomistic models are useful for quantifying and evaluating trends in experimental data, explaining structure-property relationships, and informing materials design strategies and libraries. In this review, we showcase the most prominent atomistic modelling methods and their application to electrode materials, liquid and solid electrolyte materials, and their interfaces, highlighting the diverse range of battery properties that can be investigated. Furthermore, we link atomistic modelling to experimental data and higher scale models such as continuum and control models. We also provide a critical discussion on the outlook of these materials and the main challenges for future battery research.
2516-1083
Morgan, Lucy
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Mercer, Michael
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Bhandari, Arihant
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Peng, Chao
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Islam, Mazharul M.
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Yang, Hui
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Holland, Julian, Oliver
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Coles, Samuel William
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Sharpe, Ryan
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Walsh, Aron
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Morgan, Benjamin J.
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Kramer, Denis
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Islam, Saiful M
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Hoster, Harry
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Edge, Jacqueline Sophie
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Skylaris, Chris-Kriton
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Morgan, Lucy
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Mercer, Michael
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Bhandari, Arihant
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Peng, Chao
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Islam, Mazharul M.
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Yang, Hui
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Holland, Julian, Oliver
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Coles, Samuel William
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Sharpe, Ryan
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Walsh, Aron
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Morgan, Benjamin J.
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Kramer, Denis
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Islam, Saiful M
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Hoster, Harry
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Edge, Jacqueline Sophie
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Skylaris, Chris-Kriton
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Morgan, Lucy, Mercer, Michael, Bhandari, Arihant, Peng, Chao, Islam, Mazharul M., Yang, Hui, Holland, Julian, Oliver, Coles, Samuel William, Sharpe, Ryan, Walsh, Aron, Morgan, Benjamin J., Kramer, Denis, Islam, Saiful M, Hoster, Harry, Edge, Jacqueline Sophie and Skylaris, Chris-Kriton (2021) Pushing the boundaries of lithium battery research with atomistic modelling on different scales. Progress in Energy, [012002]. (doi:10.1088/2516-1083/ac3894).

Record type: Article

Abstract

Computational modelling is a vital tool in the research of batteries and their component materials. Atomistic models are key to building truly physics-based models of batteries and form the foundation of the multiscale modelling chain, leading to more robust and predictive models. These models can be applied to fundamental research questions with high predictive accuracy. For example, they can be used to predict new behaviour not currently accessible by experiment, for reasons of cost, safety, or throughput. Atomistic models are useful for quantifying and evaluating trends in experimental data, explaining structure-property relationships, and informing materials design strategies and libraries. In this review, we showcase the most prominent atomistic modelling methods and their application to electrode materials, liquid and solid electrolyte materials, and their interfaces, highlighting the diverse range of battery properties that can be investigated. Furthermore, we link atomistic modelling to experimental data and higher scale models such as continuum and control models. We also provide a critical discussion on the outlook of these materials and the main challenges for future battery research.

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Atomistic_LIB_modelling_reduced - Accepted Manuscript
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Accepted/In Press date: 10 November 2021
Published date: 7 December 2021

Identifiers

Local EPrints ID: 452344
URI: http://eprints.soton.ac.uk/id/eprint/452344
ISSN: 2516-1083
PURE UUID: 8141947b-f2fd-4b0c-bd65-8df337e18e6f
ORCID for Julian, Oliver Holland: ORCID iD orcid.org/0000-0001-8959-0112
ORCID for Chris-Kriton Skylaris: ORCID iD orcid.org/0000-0003-0258-3433

Catalogue record

Date deposited: 08 Dec 2021 18:45
Last modified: 17 Mar 2024 03:59

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Contributors

Author: Lucy Morgan
Author: Michael Mercer
Author: Arihant Bhandari
Author: Chao Peng
Author: Mazharul M. Islam
Author: Hui Yang
Author: Julian, Oliver Holland ORCID iD
Author: Samuel William Coles
Author: Ryan Sharpe
Author: Aron Walsh
Author: Benjamin J. Morgan
Author: Denis Kramer
Author: Saiful M Islam
Author: Harry Hoster
Author: Jacqueline Sophie Edge

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