2023
DOI: 10.1021/jacs.3c05819
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ChatGPT Chemistry Assistant for Text Mining and the Prediction of MOF Synthesis

Abstract: We use prompt engineering to guide ChatGPT in the automation of text mining of metal–organic framework (MOF) 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 … Show more

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Cited by 148 publications
(98 citation statements)
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“…By quantitatively measuring the similarity between LLM-output and the original synthesis information, we show that LLMs accurately structure the full process of synthesis in an ordered format, thereby enabling the subsequent analysis and learning beyond the prediction of individual synthesis parameters. Together with recent progress of utilizing LLMs in materials research, 31,32 our work further highlights the capability of LLMs in comprehending knowledge directly from materials literature and their massive potential in designing and guiding materials experimentation.…”
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confidence: 70%
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“…By quantitatively measuring the similarity between LLM-output and the original synthesis information, we show that LLMs accurately structure the full process of synthesis in an ordered format, thereby enabling the subsequent analysis and learning beyond the prediction of individual synthesis parameters. Together with recent progress of utilizing LLMs in materials research, 31,32 our work further highlights the capability of LLMs in comprehending knowledge directly from materials literature and their massive potential in designing and guiding materials experimentation.…”
mentioning
confidence: 70%
“…27–30 Their remarkable success in a wide variety of tasks has promoted significant interest in utilizing LLMs in the materials research domain. 31,32 For instance, the capability of LLMs to process text corpora allowed the identification and extraction of key parameters for materials synthesis without necessary human labeling, 31 thereby opening up the possibility of LLM-guided experimentation. 31,32…”
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confidence: 99%
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“…Each category encompasses two to five specific mutation actions. Our journey began with over 200 linkers, extracted from the literature using a ChatGPT-based assistant we previously reported . From this, we concentrated on 142 carboxylate linkers, which are more commonly seen in MOF synthesis.…”
Section: Results and Discussionmentioning
confidence: 99%
“…The recent emergence of artificial intelligence (AI) bots, such as ChatGPT, Bing AI Chat and Copilot (Microsoft), and Bard (Google), has led the scientific community to explore the capabilities of Large Language Models (LLMs) in scientific research . Recently, several editorials, articles, and blog posts have appeared discussing the pros and cons of using such AI bots in scientific publications. On the positive side, these tools are useful for grammar correction and revision of text, to spark new ideas and break mental logjams, and for content analysis of published articles. These features are helpful for researchers to compose scientific articles, especially when English is not their first language of study.…”
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confidence: 99%