Author

Dong-Lin Han

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Preprint Aug 2026

Interpretable physics-informed retrieval-augmented generation language model for end-to-end inorganic crystal synthesis planning

An interpretable Physics-Informed Retrieval-Augmented Generation Language Model for end-to-end inorganic crystal synthesis planning that achieves 91.4% accuracy in synthesis-method prediction and generalizes to materials reported after the knowledge cutoff.

Wei-Jian Jiang, Ye-Nan Sha, Hui Guo et al. · 0 citations