High-Throughput Extraction of Phase–Property Relationships from Literature Using Natural Language Processing and Large Language Models
Consolidating published research on aluminum alloys into insights about microstructure–property relationships can simplify and reduce the costs involved in alloy design. One critical design consideration for many heat-treatable alloys deriving superior properties from precipitation are phases as key...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Springer International Publishing
2024
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| Subjects: | |
| Online Access: | https://hdl.handle.net/1721.1/153929 |