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Aluminum alloy compositions and properties extracted from a corpus of scientific manuscripts and US patents
Researchers continue to explore and develop aluminum alloys with new compositions and improved performance characteristics. An understanding of the current design space can help accelerate the discovery of new alloys. We present two datasets: 1) chemical composition, and 2) mechanical properties for...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8967828/ https://www.ncbi.nlm.nih.gov/pubmed/35354831 http://dx.doi.org/10.1038/s41597-022-01215-7 |
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author | Pfeiffer, Olivia P. Liu, Haihao Montanelli, Luca Latypov, Marat I. Sen, Fatih G. Hegadekatte, Vishwanath Olivetti, Elsa A. Homer, Eric R. |
author_facet | Pfeiffer, Olivia P. Liu, Haihao Montanelli, Luca Latypov, Marat I. Sen, Fatih G. Hegadekatte, Vishwanath Olivetti, Elsa A. Homer, Eric R. |
author_sort | Pfeiffer, Olivia P. |
collection | PubMed |
description | Researchers continue to explore and develop aluminum alloys with new compositions and improved performance characteristics. An understanding of the current design space can help accelerate the discovery of new alloys. We present two datasets: 1) chemical composition, and 2) mechanical properties for predominantly wrought aluminum alloys. The first dataset contains 14,884 entries on aluminum alloy compositions extracted from academic literature and US patents using text processing techniques, including 550 wrought aluminum alloys which are already registered with the Aluminum Association. The second dataset contains 1,278 entries on mechanical properties for aluminum alloys, where each entry is associated with a particular wrought series designation, extracted from tables in academic literature. |
format | Online Article Text |
id | pubmed-8967828 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-89678282022-04-22 Aluminum alloy compositions and properties extracted from a corpus of scientific manuscripts and US patents Pfeiffer, Olivia P. Liu, Haihao Montanelli, Luca Latypov, Marat I. Sen, Fatih G. Hegadekatte, Vishwanath Olivetti, Elsa A. Homer, Eric R. Sci Data Data Descriptor Researchers continue to explore and develop aluminum alloys with new compositions and improved performance characteristics. An understanding of the current design space can help accelerate the discovery of new alloys. We present two datasets: 1) chemical composition, and 2) mechanical properties for predominantly wrought aluminum alloys. The first dataset contains 14,884 entries on aluminum alloy compositions extracted from academic literature and US patents using text processing techniques, including 550 wrought aluminum alloys which are already registered with the Aluminum Association. The second dataset contains 1,278 entries on mechanical properties for aluminum alloys, where each entry is associated with a particular wrought series designation, extracted from tables in academic literature. Nature Publishing Group UK 2022-03-30 /pmc/articles/PMC8967828/ /pubmed/35354831 http://dx.doi.org/10.1038/s41597-022-01215-7 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Data Descriptor Pfeiffer, Olivia P. Liu, Haihao Montanelli, Luca Latypov, Marat I. Sen, Fatih G. Hegadekatte, Vishwanath Olivetti, Elsa A. Homer, Eric R. Aluminum alloy compositions and properties extracted from a corpus of scientific manuscripts and US patents |
title | Aluminum alloy compositions and properties extracted from a corpus of scientific manuscripts and US patents |
title_full | Aluminum alloy compositions and properties extracted from a corpus of scientific manuscripts and US patents |
title_fullStr | Aluminum alloy compositions and properties extracted from a corpus of scientific manuscripts and US patents |
title_full_unstemmed | Aluminum alloy compositions and properties extracted from a corpus of scientific manuscripts and US patents |
title_short | Aluminum alloy compositions and properties extracted from a corpus of scientific manuscripts and US patents |
title_sort | aluminum alloy compositions and properties extracted from a corpus of scientific manuscripts and us patents |
topic | Data Descriptor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8967828/ https://www.ncbi.nlm.nih.gov/pubmed/35354831 http://dx.doi.org/10.1038/s41597-022-01215-7 |
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