The New Polymer Scholar
Your next polymer discovery is just a click away.
Search millions of polymer properties extracted from full text journal articles.
Enter the name of one or more polymers
(e.g. polyethylene, polypropylene, polystyrene),
or the name of a property (e.g. bandgap, glass transition temperature) or both.
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Powered by Language Models
Polymer-property data are automatically extracted using the GPT-3.5 large language model and the MaterialsBERT named entity recognization model.
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Full Text Data
Data specific to 24 polymer-properties extracted from full texts are available for exploration and vizualization.
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Interactive Plots
All plots showing property values are fully interactive, hover over the points for additional details, click on a point to open the source journal article.
Learn More
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Data Extraction from Polymer Literature using Large Language Models.
Communications Materials (submitted)
Gupta, S., Mahmood, A., Shetty, P., A., Adeboye & Ramprasad, R. (2024) -
Accelerating Materials Discovery for Polymer Solar Cells: Data-Driven Insights Enabled by Natural Language Processing.
Chemistry of Materials 36, no. 16.
Shetty, P., Adeboye, A., Gupta, S., Zhang, C., Ramprasad, R. (2024) -
A general-purpose material property data extraction pipeline from large polymer corpora using natural language processing.
npj Computational Materials, 9(1), 52.
Shetty, P., Rajan, A., Kuenneth, C., Gupta, S., Panchumarti, L., Holm, L., Zhang, C. & Ramprasad, R. (2023) -
Machine-Guided Polymer Knowledge Extraction Using Natural Language Processing: The Example of
Named Entity Normalization.
Journal of Chemical Information and Modeling, 61(11), 5377-5385.
Shetty, P., & Ramprasad, R. (2021) -
Automated knowledge extraction from polymer literature using natural language processing.
Iscience, 24(1), 101922.
Shetty, P., & Ramprasad, R. (2021)