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The LEAP framework integrates a domain-specialized large language model with active learning to efficiently prioritize precursor additives for perovskite solar cells, achieving improved power conversion efficiencies in experimental validation.
CrystalReasoner is an LLM framework that generates crystal structures from natural language by using physical priors as thinking tokens and reinforcement learning to ensure validity, stability, and property-conditioned generation.