{
 "id": "JH976/Perovskite-R1",
 "owner": "JH976",
 "name": "Perovskite-R1",
 "downloads": 123,
 "likes": 3,
 "last_modified": "2026-03-23T02:07:13.000Z",
 "stated_licence": "apache-2.0",
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 "citation": "- **GitHub Repository**: [https://github.com/WD928/Perovskite-R1](https://github.com/WD928/Perovskite-R1) (Contains source code, usage demos, and validation records)\n- **Paper**: [Communications Materials 7, 86 (2026)](https://www.nature.com/articles/s43246-026-01099-9)\n- **Preprint**: [arXiv:2507.16307](https://arxiv.org/abs/2507.16307)\n\nIf you use this dataset, please cite:\n\n```bibtex\n@article{wang2026perovskite,\n  title={Perovskite-R1: a domain-specialized large language model for intelligent discovery of precursor additives and experimental design},\n  author={Wang, Xin-De and Chen, Zhi-Rui and Guo, Peng-Jie and Gao, Ze-Feng and Mu, Cheng and Lu, Zhong-Yi},\n  journal={Communications Materials},\n  volume={7},\n  pages={86},\n  year={2026},\n  publisher={Nature Publishing Group UK London}\n}",
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}