AI RESEARCH
LEAP: A closed-loop framework for perovskite precursor additive discovery
arXiv CS.LG
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ArXi:2605.20242v1 Announce Type: new Efficient discovery of precursor additives is essential for improving the performance of perovskite solar cells, yet the large chemical space makes conventional trial-and-error screening inefficient. We develop LEAP(LLM-driven Exploration via Active Learning for Perovskites), an expert-in-the-loop closed framework that couples a domain-specialized large language model(LLM) with active learning for iterative additive prioritization.