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

Engineering and Technology

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

P. Shetty, A. C. Rajan, et al.

Discover how a team of researchers including Pranav Shetty and others developed an automated pipeline that extracts valuable material property data from the ever-growing polymer literature. Using an innovative language model, they processed thousands of abstracts in a matter of hours, yielding insights that could reshape applications like fuel cells and solar technology.

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