High-Throughput Extraction of Phase–Property Relationships from Literature Using Natural Language Processing and Large Language Models

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...

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Bibliographic Details
Main Authors: Montanelli, Luca, Venugopal, Vineeth, Olivetti, Elsa A., Latypov, Marat I.
Other Authors: Massachusetts Institute of Technology. Department of Materials Science and Engineering
Format: Article
Language:English
Published: Springer International Publishing 2024
Subjects:
Industrial and Manufacturing Engineering
General Materials Science
Online Access:https://hdl.handle.net/1721.1/153929

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