Cited time in
Full metadata record
| DC Field | Value | Language |
|---|---|---|
| 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 | - |
Items in Repository are protected by copyright, with all rights reserved, unless otherwise indicated.
Tel : 052-217-1403 / Email : scholarworks@unist.ac.kr
Copyright (c) 2023 by UNIST LIBRARY. All rights reserved.
ScholarWorks@UNIST was established as an OAK Project for the National Library of Korea.