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README.md
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Perovskite-RL is a domain-adapted large language model for perovskite solar-cell additive engineering. It is trained to reason about additive molecules, defect passivation, crystallization modulation, interfacial protection, ion migration, electronic effects, and stability-related mechanisms.
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## Model Details
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- **Base model:** Qwen3-32B
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- The model may overstate mechanistic confidence when evidence is incomplete.
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- Use outputs as hypotheses, not final scientific conclusions.
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## Citation
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Citation information will be added after the manuscript is publicly available.
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Perovskite-RL is a domain-adapted large language model for perovskite solar-cell additive engineering. It is trained to reason about additive molecules, defect passivation, crystallization modulation, interfacial protection, ion migration, electronic effects, and stability-related mechanisms.
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Perovskite-RL is one component of a closed-loop discovery workflow for perovskite precursor additive discovery. The workflow connects literature-derived mechanism reasoning, additive candidate generation, descriptor extraction, feedback evaluation, and iterative refinement.
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Workflow repository: [GitHub](https://github.com/WD928/LEAP)
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## Model Details
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- **Base model:** Qwen3-32B
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- The model may overstate mechanistic confidence when evidence is incomplete.
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- Use outputs as hypotheses, not final scientific conclusions.
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## Citation
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Citation information will be added after the manuscript is publicly available.
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