Abstract
Reticular chemistry is the science of connecting molecular building units into crystalline extended structures such as metal-organic frameworks and covalent organic frameworks. Large language models (LLMs), a type of generative artificial intelligence system, can augment laboratory research in reticular chemistry by helping scientists to extract knowledge from literature, design materials and collect and interpret experimental data - ultimately accelerating scientific discovery.
Key Data
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Publication Date01 February 2025
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Primary AuthorZhiling Zheng
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SourceNature Reviews Materials
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LanguageEnglish
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