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Theory-guided experimental design in battery materials research
A reliable energy storage ecosystem is imperative for a renewable energy future, and continued research is needed to develop promising rechargeable battery chemistries. To this end, better theoretical and experimental understanding of electrochemical mechanisms and structure-property relationships w...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Association for the Advancement of Science
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9094674/ https://www.ncbi.nlm.nih.gov/pubmed/35544561 http://dx.doi.org/10.1126/sciadv.abm2422 |
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author | Eng, Alex Yong Sheng Soni, Chhail Bihari Lum, Yanwei Khoo, Edwin Yao, Zhenpeng Vineeth, S. K. Kumar, Vipin Lu, Jun Johnson, Christopher S. Wolverton, Christopher Seh, Zhi Wei |
author_facet | Eng, Alex Yong Sheng Soni, Chhail Bihari Lum, Yanwei Khoo, Edwin Yao, Zhenpeng Vineeth, S. K. Kumar, Vipin Lu, Jun Johnson, Christopher S. Wolverton, Christopher Seh, Zhi Wei |
author_sort | Eng, Alex Yong Sheng |
collection | PubMed |
description | A reliable energy storage ecosystem is imperative for a renewable energy future, and continued research is needed to develop promising rechargeable battery chemistries. To this end, better theoretical and experimental understanding of electrochemical mechanisms and structure-property relationships will allow us to accelerate the development of safer batteries with higher energy densities and longer lifetimes. This Review discusses the interplay between theory and experiment in battery materials research, enabling us to not only uncover hitherto unknown mechanisms but also rationally design more promising electrode and electrolyte materials. We examine specific case studies of theory-guided experimental design in lithium-ion, lithium-metal, sodium-metal, and all-solid-state batteries. We also offer insights into how this framework can be extended to multivalent batteries. To close the loop, we outline recent efforts in coupling machine learning with high-throughput computations and experiments. Last, recommendations for effective collaboration between theorists and experimentalists are provided. |
format | Online Article Text |
id | pubmed-9094674 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | American Association for the Advancement of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-90946742022-05-26 Theory-guided experimental design in battery materials research Eng, Alex Yong Sheng Soni, Chhail Bihari Lum, Yanwei Khoo, Edwin Yao, Zhenpeng Vineeth, S. K. Kumar, Vipin Lu, Jun Johnson, Christopher S. Wolverton, Christopher Seh, Zhi Wei Sci Adv Physical and Materials Sciences A reliable energy storage ecosystem is imperative for a renewable energy future, and continued research is needed to develop promising rechargeable battery chemistries. To this end, better theoretical and experimental understanding of electrochemical mechanisms and structure-property relationships will allow us to accelerate the development of safer batteries with higher energy densities and longer lifetimes. This Review discusses the interplay between theory and experiment in battery materials research, enabling us to not only uncover hitherto unknown mechanisms but also rationally design more promising electrode and electrolyte materials. We examine specific case studies of theory-guided experimental design in lithium-ion, lithium-metal, sodium-metal, and all-solid-state batteries. We also offer insights into how this framework can be extended to multivalent batteries. To close the loop, we outline recent efforts in coupling machine learning with high-throughput computations and experiments. Last, recommendations for effective collaboration between theorists and experimentalists are provided. American Association for the Advancement of Science 2022-05-11 /pmc/articles/PMC9094674/ /pubmed/35544561 http://dx.doi.org/10.1126/sciadv.abm2422 Text en Copyright © 2022 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works. Distributed under a Creative Commons Attribution NonCommercial License 4.0 (CC BY-NC). https://creativecommons.org/licenses/by-nc/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial license (https://creativecommons.org/licenses/by-nc/4.0/) , which permits use, distribution, and reproduction in any medium, so long as the resultant use is not for commercial advantage and provided the original work is properly cited. |
spellingShingle | Physical and Materials Sciences Eng, Alex Yong Sheng Soni, Chhail Bihari Lum, Yanwei Khoo, Edwin Yao, Zhenpeng Vineeth, S. K. Kumar, Vipin Lu, Jun Johnson, Christopher S. Wolverton, Christopher Seh, Zhi Wei Theory-guided experimental design in battery materials research |
title | Theory-guided experimental design in battery materials research |
title_full | Theory-guided experimental design in battery materials research |
title_fullStr | Theory-guided experimental design in battery materials research |
title_full_unstemmed | Theory-guided experimental design in battery materials research |
title_short | Theory-guided experimental design in battery materials research |
title_sort | theory-guided experimental design in battery materials research |
topic | Physical and Materials Sciences |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9094674/ https://www.ncbi.nlm.nih.gov/pubmed/35544561 http://dx.doi.org/10.1126/sciadv.abm2422 |
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