ChatGPT Chemistry Assistant for Text Mining and Prediction of MOF Synthesis

Understand

We use prompt engineering to guide ChatGPT in the automation of text mining of metal-organic frameworks (MOFs) synthesis conditions from diverse formats and styles of the scientific literature.

• This effectively mitigates ChatGPT's tendency to hallucinate information -- an issue that previously made the use of Large Language Models (LLMs) in scientific fields challenging.
• Our approach involves the development of a workflow implementing three different processes for text mining, programmed by ChatGPT itself.
• All of them enable parsing, searching, filtering, classification, summarization, and data unification with different tradeoffs between labor, speed, and accuracy.