Aluminum alloy compositions and properties extracted from a corpus of scientific manuscripts and US patents

• Published in: Scientific data Vol. 9; no. 1; p. 128
• Main Authors: Pfeiffer, Olivia P., Liu, Haihao, Montanelli, Luca, Latypov, Marat I., Sen, Fatih G., Hegadekatte, Vishwanath, Olivetti, Elsa A., Homer, Eric R.
• Format: Journal Article
• Language: English
• Published: London Nature Publishing Group UK 30-03-2022; Nature Publishing Group; Nature Portfolio
• Subjects: 639/301/1023/1026; Alloys; Aluminum; Aluminum alloys; Chemical composition; Data Descriptor; Humanities and Social Sciences; Mechanical properties; multidisciplinary; Science; Science (multidisciplinary); United States > US
• ISSN: 2052-4463; 2052-4463
• DOI: 10.1038/s41597-022-01215-7

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.
Measurement(s)
chemical composition of aluminum alloys • mechanical properties of aluminum alloys
Technology Type(s)
natural language processing