This file is automatically generated. It contains the descriptions of each uploaded file as provided by the user.

• ppf_API_demo.ipynb: Jupyter notebook with an example of how to use the Polymer Property Prediction Engine with APIs (application programming interface)
• example.csv: Input file data-set for the Jupyter notebook
• PCO2-Tg-Thd-data-all-simulated.csv: 1,169 calculated homo-polymers properties: IUPAC polymer name, OPSIN SMILES, log10( CO2 permeability (Barrer)), glass transition temperature (K) and half decomposition temperature (K)
• results_monomers_generative_model.csv: 784 homopolymers generated by Inverse Design and Machine Learning techniques with the OPSIN SMILES, glass transition temperature (Tg), half decomposition temperature (Thf) and CO2 permeability (PCO2). Tg and Thf are calculated using Polymer Property Prediction Engine, and PCO2 was calculated by the Machine Learning regression model.