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Download README.md from mkarim14/OpenPoly: direct link, hf CLI and curl.
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1.85 kB
| license: cc-by-4.0 | |
| tags: | |
| - chemistry | |
| - polymers | |
| - materials-science | |
| pretty_name: Bioplastic Thermal Property Data (OpenPoly-derived) | |
| # Bioplastic Thermal Property Data | |
| Experimental polymer thermal-property data used to train the multitask | |
| Tg / Tm / Td prediction models in the | |
| [predictive_bioplastic_design](https://github.com/chakratech/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. |