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Prof. Ramprasads' featured article in Journal of Physical Chemistry
Polymer Genome: A Data-Powered Polymer Informatics Platform for Property Predictions
The nascent field of polymer informatics seeks to provide tools and pathways for accelerated property prediction (and materials design) via surrogate machine learning models built on reliable past data. We have carefully accumulated a data set of organic polymers whose properties were obtained either computationally (bandgap, dielectric constant, refractive index, and atomization energy) or experimentally (glass transition temperature, solubility parameter, and density)....