Artificial intelligence-driven approaches for materials design and discovery.
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| Title: | Artificial intelligence-driven approaches for materials design and discovery. |
|---|---|
| Authors: | Cheng M; Quantum Measurement Group, MIT, Cambridge, MA, USA. vipandyc@mit.edu.; Center for Computational Science and Engineering, MIT, Cambridge, MA, USA. vipandyc@mit.edu.; Department of Materials Science and Engineering, MIT, Cambridge, MA, USA. vipandyc@mit.edu., Fu CL; Quantum Measurement Group, MIT, Cambridge, MA, USA.; Department of Nuclear Science and Engineering, MIT, Cambridge, MA, USA., Okabe R; Quantum Measurement Group, MIT, Cambridge, MA, USA.; Department of Chemistry, MIT, Cambridge, MA, USA., Chotrattanapituk A; Quantum Measurement Group, MIT, Cambridge, MA, USA.; Department of Electrical Engineering and Computer Science, MIT, Cambridge, MA, USA., Boonkird A; Quantum Measurement Group, MIT, Cambridge, MA, USA.; Department of Nuclear Science and Engineering, MIT, Cambridge, MA, USA., Hung NT; Frontier Research Institute for Interdisciplinary Sciences, Tohoku University, Sendai, Japan., Li M; Quantum Measurement Group, MIT, Cambridge, MA, USA. mingda@mit.edu.; Center for Computational Science and Engineering, MIT, Cambridge, MA, USA. mingda@mit.edu.; Department of Nuclear Science and Engineering, MIT, Cambridge, MA, USA. mingda@mit.edu. |
| Source: | Nature materials [Nat Mater] 2026 Feb; Vol. 25 (2), pp. 174-190. Date of Electronic Publication: 2026 Jan 02. |
| Publication Type: | Journal Article; Review |
| Journal Info: | Publisher: Nature Pub. Group Country of Publication: England NLM ID: 101155473 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1476-4660 (Electronic) Linking ISSN: 14761122 NLM ISO Abbreviation: Nat Mater Subsets: MEDLINE; PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
| FullText | Text: Availability: 0 |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 41482571 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Artificial intelligence-driven approaches for materials design and discovery. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Cheng+M%22">Cheng M</searchLink>; Quantum Measurement Group, MIT, Cambridge, MA, USA. vipandyc@mit.edu.; Center for Computational Science and Engineering, MIT, Cambridge, MA, USA. vipandyc@mit.edu.; Department of Materials Science and Engineering, MIT, Cambridge, MA, USA. vipandyc@mit.edu.<br /><searchLink fieldCode="AU" term="%22Fu+CL%22">Fu CL</searchLink>; Quantum Measurement Group, MIT, Cambridge, MA, USA.; Department of Nuclear Science and Engineering, MIT, Cambridge, MA, USA.<br /><searchLink fieldCode="AU" term="%22Okabe+R%22">Okabe R</searchLink>; Quantum Measurement Group, MIT, Cambridge, MA, USA.; Department of Chemistry, MIT, Cambridge, MA, USA.<br /><searchLink fieldCode="AU" term="%22Chotrattanapituk+A%22">Chotrattanapituk A</searchLink>; Quantum Measurement Group, MIT, Cambridge, MA, USA.; Department of Electrical Engineering and Computer Science, MIT, Cambridge, MA, USA.<br /><searchLink fieldCode="AU" term="%22Boonkird+A%22">Boonkird A</searchLink>; Quantum Measurement Group, MIT, Cambridge, MA, USA.; Department of Nuclear Science and Engineering, MIT, Cambridge, MA, USA.<br /><searchLink fieldCode="AU" term="%22Hung+NT%22">Hung NT</searchLink>; Frontier Research Institute for Interdisciplinary Sciences, Tohoku University, Sendai, Japan.<br /><searchLink fieldCode="AU" term="%22Li+M%22">Li M</searchLink>; Quantum Measurement Group, MIT, Cambridge, MA, USA. mingda@mit.edu.; Center for Computational Science and Engineering, MIT, Cambridge, MA, USA. mingda@mit.edu.; Department of Nuclear Science and Engineering, MIT, Cambridge, MA, USA. mingda@mit.edu. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22101155473%22">Nature materials</searchLink> [Nat Mater] 2026 Feb; Vol. 25 (2), pp. 174-190. <i>Date of Electronic Publication: </i>2026 Jan 02. – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article; Review – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Nature+Pub%2E+Group%22">Nature Pub. Group </searchLink><i>Country of Publication: </i>England <i>NLM ID: </i>101155473 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1476-4660 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2214761122%22">14761122 </searchLink><i>NLM ISO Abbreviation: </i>Nat Mater <i>Subsets: </i>MEDLINE; PubMed not MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=41482571 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1038/s41563-025-02403-7 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: 174 Titles: – TitleFull: Artificial intelligence-driven approaches for materials design and discovery. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Cheng M – PersonEntity: Name: NameFull: Fu CL – PersonEntity: Name: NameFull: Okabe R – PersonEntity: Name: NameFull: Chotrattanapituk A – PersonEntity: Name: NameFull: Boonkird A – PersonEntity: Name: NameFull: Hung NT – PersonEntity: Name: NameFull: Li M IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 02 Text: 2026 Feb Type: published Y: 2026 Identifiers: – Type: issn-electronic Value: 1476-4660 Numbering: – Type: volume Value: 25 – Type: issue Value: 2 Titles: – TitleFull: Nature materials Type: main |
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