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  • 标题:Aluminum alloy compositions and properties extracted from a corpus of scientific manuscripts and US patents
  • 本地全文:下载
  • 作者:Olivia P.Pfeifer ; Haihao Liu ; Luca Montanelli
  • 期刊名称:Scientific Data
  • 电子版ISSN:2052-4463
  • 出版年度:2022
  • 卷号:9
  • 期号:1
  • 页码:1-9
  • DOI:10.1038/s41597-022-01215-7
  • 语种:English
  • 出版社:Nature Publishing Group
  • 摘要: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 frst 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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