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Park, Yang Jeong
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dc.citation.endPage 584 -
dc.citation.number 3 -
dc.citation.startPage 578 -
dc.citation.title JOURNAL OF MATERIOMICS -
dc.citation.volume 10 -
dc.contributor.author Park, Yang Jeong -
dc.contributor.author Kaplan, Daniel -
dc.contributor.author Ren, Zhichu -
dc.contributor.author Hsu, Chia-Wei -
dc.contributor.author Li, Changhao -
dc.contributor.author Xu, Haowei -
dc.contributor.author Li, Sipei -
dc.contributor.author Li, Ju -
dc.date.accessioned 2026-04-07T13:04:03Z -
dc.date.available 2026-04-07T13:04:03Z -
dc.date.created 2026-03-13 -
dc.date.issued 2024-05 -
dc.description.abstract We investigate whether large language models can perform the creative hypothesis generation that human researchers regularly do. While the error rate is high, generative AI seems to be able to effectively structure vast amounts of scientific knowledge and provide interesting and testable hypotheses. The future scientific enterprise may include synergistic efforts with a swarm of "hypothesis machines", challenged by automated experimentation and adversarial peer reviews. (c) 2023 The Authors. Published by Elsevier B.V. on behalf of The Chinese Ceramic Society. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). -
dc.identifier.bibliographicCitation JOURNAL OF MATERIOMICS, v.10, no.3, pp.578 - 584 -
dc.identifier.doi 10.1016/j.jmat.2023.08.007 -
dc.identifier.issn 2352-8478 -
dc.identifier.scopusid 2-s2.0-85175258410 -
dc.identifier.uri https://scholarworks.unist.ac.kr/handle/201301/91293 -
dc.identifier.url https://www.sciencedirect.com/science/article/pii/S2352847823001557?via%3Dihub -
dc.identifier.wosid 001230675800001 -
dc.language 영어 -
dc.publisher ELSEVIER -
dc.title Can ChatGPT be used to generate scientific hypotheses? -
dc.type Article -
dc.description.isOpenAccess TRUE -
dc.relation.journalWebOfScienceCategory Chemistry, Physical; Materials Science, Multidisciplinary; Physics, Applied -
dc.relation.journalResearchArea Chemistry; Materials Science; Physics -
dc.type.docType Article -
dc.description.journalRegisteredClass scie -
dc.description.journalRegisteredClass scopus -
dc.subject.keywordAuthor generative AI -
dc.subject.keywordAuthor GPT-4 -
dc.subject.keywordAuthor large language models -
dc.subject.keywordAuthor scientific hypothesis generation -

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