Machine learning accelerates identification of lithiated phases in X-ray images of battery hosts

Santos et al. (2022) propose a machine learning-based approach to identify various lithiated phases across lengthscales in X-ray images of battery particles, thus enabling automatic interpretation of such information in much bigger datasets and creating opportunities to unravel previously inaccessib...

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Detalles Bibliográficos
Autores principales: Mistry, Aashutosh, Srinivasan, Venkat
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Preview
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9768674/
https://www.ncbi.nlm.nih.gov/pubmed/36569544
http://dx.doi.org/10.1016/j.patter.2022.100654
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author Mistry, Aashutosh
Srinivasan, Venkat
author_facet Mistry, Aashutosh
Srinivasan, Venkat
author_sort Mistry, Aashutosh
collection PubMed
description Santos et al. (2022) propose a machine learning-based approach to identify various lithiated phases across lengthscales in X-ray images of battery particles, thus enabling automatic interpretation of such information in much bigger datasets and creating opportunities to unravel previously inaccessible scientific understanding.
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spelling pubmed-97686742022-12-22 Machine learning accelerates identification of lithiated phases in X-ray images of battery hosts Mistry, Aashutosh Srinivasan, Venkat Patterns (N Y) Preview Santos et al. (2022) propose a machine learning-based approach to identify various lithiated phases across lengthscales in X-ray images of battery particles, thus enabling automatic interpretation of such information in much bigger datasets and creating opportunities to unravel previously inaccessible scientific understanding. Elsevier 2022-12-09 /pmc/articles/PMC9768674/ /pubmed/36569544 http://dx.doi.org/10.1016/j.patter.2022.100654 Text en © 2022 Argonne National Laboratory 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 Preview
Mistry, Aashutosh
Srinivasan, Venkat
Machine learning accelerates identification of lithiated phases in X-ray images of battery hosts
title Machine learning accelerates identification of lithiated phases in X-ray images of battery hosts
title_full Machine learning accelerates identification of lithiated phases in X-ray images of battery hosts
title_fullStr Machine learning accelerates identification of lithiated phases in X-ray images of battery hosts
title_full_unstemmed Machine learning accelerates identification of lithiated phases in X-ray images of battery hosts
title_short Machine learning accelerates identification of lithiated phases in X-ray images of battery hosts
title_sort machine learning accelerates identification of lithiated phases in x-ray images of battery hosts
topic Preview
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9768674/
https://www.ncbi.nlm.nih.gov/pubmed/36569544
http://dx.doi.org/10.1016/j.patter.2022.100654
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AT srinivasanvenkat machinelearningacceleratesidentificationoflithiatedphasesinxrayimagesofbatteryhosts

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