CEMP: a platform unifying high-throughput online calculation, databases and predictive models for clean energy materials
Paper • 2507.04423 • Published
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Bioplastic Thermal Property Data
Experimental polymer thermal-property data used to train the multitask Tg / Tm / Td prediction models in the predictive_bioplastic_design project.
Contents
experiment_polymer_data.xlsx — experimental polymer records with PSMILES
strings and measured thermal properties (glass transition temperature Tg,
melting temperature Tm, decomposition temperature Td), among other columns.
Source & Attribution
This data is derived from the OpenPoly experimental polymer database, made available under the Creative Commons Attribution 4.0 International (CC BY 4.0) license. It is redistributed here unmodified (or lightly filtered for the thermal-property modeling task) for reproducibility, so that the project's models train on the exact dataset they were validated against.
Original source: OpenPoly experimental polymer database (https://cleanenergymaterials.cn/polymer/polymer_database/experiment_polymer_database)
If you use this data in scientific work, please cite the OpenPoly authors:
Wang, J.-F.; Sun, Y.-B.; Chen, Q.-T.; Ji, F.-F.; Song, Y.-Y.; Ruan, M.-Y.; Wang, Y. OpenPoly: a polymer database empowering benchmarking and multi-property predictions. Chinese Journal of Polymer Science 2025, 43, 1749–1760.
Wang, J.; Ju, J.; Wang, Y. CEMP: a platform unifying high-throughput online calculation, databases and predictive models for clean energy materials. arXiv preprint arXiv:2507.04423, 2025.
License
Released under CC BY 4.0, consistent with the original OpenPoly data license. You are free to share and adapt the data with appropriate attribution.
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