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Data science enables X-ray vision
In their recent publication in Patterns, the authors proposed a novel workflow to derive compositional and stress maps for positive electrode materials of Li-ion batteries from hyperspectral X-ray imaging data. They describe their interdisciplinary collaboration, the elements that sustain such colla...
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/PMC9768689/ https://www.ncbi.nlm.nih.gov/pubmed/36569548 http://dx.doi.org/10.1016/j.patter.2022.100660 |
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author | Santos, David A. Lin, Binbin Andrews, Justin L. |
author_facet | Santos, David A. Lin, Binbin Andrews, Justin L. |
author_sort | Santos, David A. |
collection | PubMed |
description | In their recent publication in Patterns, the authors proposed a novel workflow to derive compositional and stress maps for positive electrode materials of Li-ion batteries from hyperspectral X-ray imaging data. They describe their interdisciplinary collaboration, the elements that sustain such collaborations, and their effect on the flourishing of the domain and data science. |
format | Online Article Text |
id | pubmed-9768689 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-97686892022-12-22 Data science enables X-ray vision Santos, David A. Lin, Binbin Andrews, Justin L. Patterns (N Y) People of Data In their recent publication in Patterns, the authors proposed a novel workflow to derive compositional and stress maps for positive electrode materials of Li-ion batteries from hyperspectral X-ray imaging data. They describe their interdisciplinary collaboration, the elements that sustain such collaborations, and their effect on the flourishing of the domain and data science. Elsevier 2022-12-09 /pmc/articles/PMC9768689/ /pubmed/36569548 http://dx.doi.org/10.1016/j.patter.2022.100660 Text en © 2022 The Authors 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 | People of Data Santos, David A. Lin, Binbin Andrews, Justin L. Data science enables X-ray vision |
title | Data science enables X-ray vision |
title_full | Data science enables X-ray vision |
title_fullStr | Data science enables X-ray vision |
title_full_unstemmed | Data science enables X-ray vision |
title_short | Data science enables X-ray vision |
title_sort | data science enables x-ray vision |
topic | People of Data |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9768689/ https://www.ncbi.nlm.nih.gov/pubmed/36569548 http://dx.doi.org/10.1016/j.patter.2022.100660 |
work_keys_str_mv | AT santosdavida datascienceenablesxrayvision AT linbinbin datascienceenablesxrayvision AT andrewsjustinl datascienceenablesxrayvision |