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Protocol for phase-field simulations of lithium dendrite growth with MOOSE framework
Phase-field simulation is a powerful tool for understanding lithium metal electrodeposition. This protocol outlines the process of numerically solving the phase-field equations using the MOOSE framework. Here, we describe steps to obtain the spatiotemporal distribution of major physical characterist...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9508604/ https://www.ncbi.nlm.nih.gov/pubmed/36149793 http://dx.doi.org/10.1016/j.xpro.2022.101713 |
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author | Jin, Shoutong Wu, Yongjun Yang, Hui Huang, Yuhui Hong, Zijian |
author_facet | Jin, Shoutong Wu, Yongjun Yang, Hui Huang, Yuhui Hong, Zijian |
author_sort | Jin, Shoutong |
collection | PubMed |
description | Phase-field simulation is a powerful tool for understanding lithium metal electrodeposition. This protocol outlines the process of numerically solving the phase-field equations using the MOOSE framework. Here, we describe steps to obtain the spatiotemporal distribution of major physical characteristics such as phase-field, ion concentration, overpotential, and driving force. Such an approach may help to reveal the underlying physics and kinetics of dendrite growth, while also providing design principles for suppressing lithium dendrites. For complete details on the use and execution of this protocol, please refer to Hong and Viswanathan (2018). |
format | Online Article Text |
id | pubmed-9508604 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-95086042022-09-25 Protocol for phase-field simulations of lithium dendrite growth with MOOSE framework Jin, Shoutong Wu, Yongjun Yang, Hui Huang, Yuhui Hong, Zijian STAR Protoc Protocol Phase-field simulation is a powerful tool for understanding lithium metal electrodeposition. This protocol outlines the process of numerically solving the phase-field equations using the MOOSE framework. Here, we describe steps to obtain the spatiotemporal distribution of major physical characteristics such as phase-field, ion concentration, overpotential, and driving force. Such an approach may help to reveal the underlying physics and kinetics of dendrite growth, while also providing design principles for suppressing lithium dendrites. For complete details on the use and execution of this protocol, please refer to Hong and Viswanathan (2018). Elsevier 2022-09-22 /pmc/articles/PMC9508604/ /pubmed/36149793 http://dx.doi.org/10.1016/j.xpro.2022.101713 Text en © 2022 The Author(s) https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Protocol Jin, Shoutong Wu, Yongjun Yang, Hui Huang, Yuhui Hong, Zijian Protocol for phase-field simulations of lithium dendrite growth with MOOSE framework |
title | Protocol for phase-field simulations of lithium dendrite growth with MOOSE framework |
title_full | Protocol for phase-field simulations of lithium dendrite growth with MOOSE framework |
title_fullStr | Protocol for phase-field simulations of lithium dendrite growth with MOOSE framework |
title_full_unstemmed | Protocol for phase-field simulations of lithium dendrite growth with MOOSE framework |
title_short | Protocol for phase-field simulations of lithium dendrite growth with MOOSE framework |
title_sort | protocol for phase-field simulations of lithium dendrite growth with moose framework |
topic | Protocol |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9508604/ https://www.ncbi.nlm.nih.gov/pubmed/36149793 http://dx.doi.org/10.1016/j.xpro.2022.101713 |
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