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Large language models (LLMs) transform material science and chemistry in predictive modeling, automation and novel interfaces, knowledge extraction, and education. Read more

Automated materials synthesis requires historical data, but extracting detailed data and metadata from publications is challenging. We developed initial strategies for using large language models for rapid, autonomous data extraction from materials science articles. Read more
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