A general-purpose material property data extraction pipeline from large polymer corpora using natural language processing

Abstract The ever-increasing number of materials science articles makes it hard to infer chemistry-structure-property relations from literature. We used natural language processing methods to automatically extract material property data from the abstracts of polymer literature. As a component of our...

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Bibliographic Details
Main Authors: Pranav Shetty, Arunkumar Chitteth Rajan, Chris Kuenneth, Sonakshi Gupta, Lakshmi Prerana Panchumarti, Lauren Holm, Chao Zhang, Rampi Ramprasad
Format: Article
Language:English
Published: Nature Portfolio 2023-04-01
Series:npj Computational Materials
Online Access:https://doi.org/10.1038/s41524-023-01003-w