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Knowledge-driven design of solid-electrolyte interphases on lithium metal via multiscale modelling
Due to its high energy density, lithium metal is a promising electrode for future energy storage. However, its practical capacity, cyclability and safety heavily depend on controlling its reactivity in contact with liquid electrolytes, which leads to the formation of a solid electrolyte interphase (...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10603056/ https://www.ncbi.nlm.nih.gov/pubmed/37884517 http://dx.doi.org/10.1038/s41467-023-42212-7 |
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author | Wagner-Henke, Janika Kuai, Dacheng Gerasimov, Michail Röder, Fridolin Balbuena, Perla B. Krewer, Ulrike |
author_facet | Wagner-Henke, Janika Kuai, Dacheng Gerasimov, Michail Röder, Fridolin Balbuena, Perla B. Krewer, Ulrike |
author_sort | Wagner-Henke, Janika |
collection | PubMed |
description | Due to its high energy density, lithium metal is a promising electrode for future energy storage. However, its practical capacity, cyclability and safety heavily depend on controlling its reactivity in contact with liquid electrolytes, which leads to the formation of a solid electrolyte interphase (SEI). In particular, there is a lack of fundamental mechanistic understanding of how the electrolyte composition impacts the SEI formation and its governing processes. Here, we present an in-depth model-based analysis of the initial SEI formation on lithium metal in a carbonate-based electrolyte. Thereby we reach for significantly larger length and time scales than comparable molecular dynamic studies. Our multiscale kinetic Monte Carlo/continuum model shows a layered, mostly inorganic SEI consisting of LiF on top of Li(2)CO(3) and Li after 1 µs. Its formation is traced back to a complex interplay of various electrolyte and salt decomposition processes. We further reveal that low local Li(+) concentrations result in a more mosaic-like, partly organic SEI and that a faster passivation of the lithium metal surface can be achieved by increasing the salt concentration. Based on this we suggest design strategies for SEI on lithium metal and make an important step towards knowledge-driven SEI engineering. |
format | Online Article Text |
id | pubmed-10603056 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-106030562023-10-28 Knowledge-driven design of solid-electrolyte interphases on lithium metal via multiscale modelling Wagner-Henke, Janika Kuai, Dacheng Gerasimov, Michail Röder, Fridolin Balbuena, Perla B. Krewer, Ulrike Nat Commun Article Due to its high energy density, lithium metal is a promising electrode for future energy storage. However, its practical capacity, cyclability and safety heavily depend on controlling its reactivity in contact with liquid electrolytes, which leads to the formation of a solid electrolyte interphase (SEI). In particular, there is a lack of fundamental mechanistic understanding of how the electrolyte composition impacts the SEI formation and its governing processes. Here, we present an in-depth model-based analysis of the initial SEI formation on lithium metal in a carbonate-based electrolyte. Thereby we reach for significantly larger length and time scales than comparable molecular dynamic studies. Our multiscale kinetic Monte Carlo/continuum model shows a layered, mostly inorganic SEI consisting of LiF on top of Li(2)CO(3) and Li after 1 µs. Its formation is traced back to a complex interplay of various electrolyte and salt decomposition processes. We further reveal that low local Li(+) concentrations result in a more mosaic-like, partly organic SEI and that a faster passivation of the lithium metal surface can be achieved by increasing the salt concentration. Based on this we suggest design strategies for SEI on lithium metal and make an important step towards knowledge-driven SEI engineering. Nature Publishing Group UK 2023-10-26 /pmc/articles/PMC10603056/ /pubmed/37884517 http://dx.doi.org/10.1038/s41467-023-42212-7 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Wagner-Henke, Janika Kuai, Dacheng Gerasimov, Michail Röder, Fridolin Balbuena, Perla B. Krewer, Ulrike Knowledge-driven design of solid-electrolyte interphases on lithium metal via multiscale modelling |
title | Knowledge-driven design of solid-electrolyte interphases on lithium metal via multiscale modelling |
title_full | Knowledge-driven design of solid-electrolyte interphases on lithium metal via multiscale modelling |
title_fullStr | Knowledge-driven design of solid-electrolyte interphases on lithium metal via multiscale modelling |
title_full_unstemmed | Knowledge-driven design of solid-electrolyte interphases on lithium metal via multiscale modelling |
title_short | Knowledge-driven design of solid-electrolyte interphases on lithium metal via multiscale modelling |
title_sort | knowledge-driven design of solid-electrolyte interphases on lithium metal via multiscale modelling |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10603056/ https://www.ncbi.nlm.nih.gov/pubmed/37884517 http://dx.doi.org/10.1038/s41467-023-42212-7 |
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