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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...

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Autores principales: Pfeiffer, Olivia P., Liu, Haihao, Montanelli, Luca, Latypov, Marat I., Sen, Fatih G., Hegadekatte, Vishwanath, Olivetti, Elsa A., Homer, Eric R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
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.
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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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