Polymer Scholar

About Polymer Scholar

This tool searches for property values found in the abstracts of journal papers. Enter the name of a polymer (e.g. polyethylene, polypropylene, polystyrene etc), or the name of a property (e.g. melting temperature, tensile strength, glass transition temperature etc) or both. This will produce an interactive plot of property values found in journal papers.

If you use Polymer Scholar for your work, please cite the following papers:

Shetty, P., Rajan, A., Kuenneth, C., Gupta, S., Panchumarti, L., Holm, L., Zhang, C. & Ramprasad, R. (2023). A general-purpose material property data extraction pipeline from large polymer corpora using natural language processing. npj Computational Materials, 9(1), 52.
Shetty, P., & Ramprasad, R. (2021). 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.