LEAP: A closed-loop framework for perovskite precursor additive discovery

LEAP is a closed-loop framework combining a domain-specialized large language model (LLM) with active learning for iterative additive prioritization in perovskite solar cells. It extracts knowledge from literature and represents molecules for Bayesian optimization, outperforming general-purpose models and validated experimentally.