Quantification and modeling of mechanical degradation in lithium-ion batteries based on nanoscale imaging

Silicon is a promising electrode material for lithium-ion batteries; however, morphological changes shorten battery lifetimes. Here the authors use imaging techniques based on electrons and X-rays to quantify such processes at micro- and nanoscales and suggest routes to mitigate battery degradation.

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Autores principales:	Simon Müller, Patrick Pietsch, Ben-Elias Brandt, Paul Baade, Vincent De Andrade, Francesco De Carlo, Vanessa Wood
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2018
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/ba1e2a3292704ce7bbadd0b6a2506557
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spelling	oai:doaj.org-article:ba1e2a3292704ce7bbadd0b6a25065572021-12-02T17:33:17ZQuantification and modeling of mechanical degradation in lithium-ion batteries based on nanoscale imaging10.1038/s41467-018-04477-12041-1723https://doaj.org/article/ba1e2a3292704ce7bbadd0b6a25065572018-06-01T00:00:00Zhttps://doi.org/10.1038/s41467-018-04477-1https://doaj.org/toc/2041-1723Silicon is a promising electrode material for lithium-ion batteries; however, morphological changes shorten battery lifetimes. Here the authors use imaging techniques based on electrons and X-rays to quantify such processes at micro- and nanoscales and suggest routes to mitigate battery degradation.Simon MüllerPatrick PietschBen-Elias BrandtPaul BaadeVincent De AndradeFrancesco De CarloVanessa WoodNature PortfolioarticleScienceQENNature Communications, Vol 9, Iss 1, Pp 1-8 (2018)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Simon Müller Patrick Pietsch Ben-Elias Brandt Paul Baade Vincent De Andrade Francesco De Carlo Vanessa Wood Quantification and modeling of mechanical degradation in lithium-ion batteries based on nanoscale imaging
description	Silicon is a promising electrode material for lithium-ion batteries; however, morphological changes shorten battery lifetimes. Here the authors use imaging techniques based on electrons and X-rays to quantify such processes at micro- and nanoscales and suggest routes to mitigate battery degradation.
format	article
author	Simon Müller Patrick Pietsch Ben-Elias Brandt Paul Baade Vincent De Andrade Francesco De Carlo Vanessa Wood
author_facet	Simon Müller Patrick Pietsch Ben-Elias Brandt Paul Baade Vincent De Andrade Francesco De Carlo Vanessa Wood
author_sort	Simon Müller
title	Quantification and modeling of mechanical degradation in lithium-ion batteries based on nanoscale imaging
title_short	Quantification and modeling of mechanical degradation in lithium-ion batteries based on nanoscale imaging
title_full	Quantification and modeling of mechanical degradation in lithium-ion batteries based on nanoscale imaging
title_fullStr	Quantification and modeling of mechanical degradation in lithium-ion batteries based on nanoscale imaging
title_full_unstemmed	Quantification and modeling of mechanical degradation in lithium-ion batteries based on nanoscale imaging
title_sort	quantification and modeling of mechanical degradation in lithium-ion batteries based on nanoscale imaging
publisher	Nature Portfolio
publishDate	2018
url	https://doaj.org/article/ba1e2a3292704ce7bbadd0b6a2506557
work_keys_str_mv	AT simonmuller quantificationandmodelingofmechanicaldegradationinlithiumionbatteriesbasedonnanoscaleimaging AT patrickpietsch quantificationandmodelingofmechanicaldegradationinlithiumionbatteriesbasedonnanoscaleimaging AT beneliasbrandt quantificationandmodelingofmechanicaldegradationinlithiumionbatteriesbasedonnanoscaleimaging AT paulbaade quantificationandmodelingofmechanicaldegradationinlithiumionbatteriesbasedonnanoscaleimaging AT vincentdeandrade quantificationandmodelingofmechanicaldegradationinlithiumionbatteriesbasedonnanoscaleimaging AT francescodecarlo quantificationandmodelingofmechanicaldegradationinlithiumionbatteriesbasedonnanoscaleimaging AT vanessawood quantificationandmodelingofmechanicaldegradationinlithiumionbatteriesbasedonnanoscaleimaging
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Quantification and modeling of mechanical degradation in lithium-ion batteries based on nanoscale imaging

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