Navigating micro- and nano-motors/swimmers with machine learning: Challenges and future directions.
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| Title: | Navigating micro- and nano-motors/swimmers with machine learning: Challenges and future directions. |
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| Authors: | Jueyi Xue1, Alinejad-Rokny, Hamid2, Kang Liang1,3, kang.liang@unsw.edu.au |
| Source: | ChemPhysMater; Jul2024, Vol. 3 Issue 3, p273-283, 11p |
| Database: | Applied Science & Technology Source |
| FullText | Text: Availability: 0 |
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| Header | DbId: aci DbLabel: Applied Science & Technology Source An: 178759560 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Navigating micro- and nano-motors/swimmers with machine learning: Challenges and future directions. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Jueyi+Xue%22">Jueyi Xue</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22Alinejad-Rokny%2C+Hamid%22">Alinejad-Rokny, Hamid</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AU" term="%22Kang+Liang%22">Kang Liang</searchLink><relatesTo>1,3</relatesTo>, <i>kang.liang@unsw.edu.au</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22ChemPhysMater%22">ChemPhysMater</searchLink>; Jul2024, Vol. 3 Issue 3, p273-283, 11p |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=178759560 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1016/j.chphma.2024.06.001 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 11 StartPage: 273 Titles: – TitleFull: Navigating micro- and nano-motors/swimmers with machine learning: Challenges and future directions. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Jueyi Xue – PersonEntity: Name: NameFull: Alinejad-Rokny, Hamid – PersonEntity: Name: NameFull: Kang Liang IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 07 Text: Jul2024 Type: published Y: 2024 Identifiers: – Type: issn-print Value: 20970323 Numbering: – Type: volume Value: 3 – Type: issue Value: 3 Titles: – TitleFull: ChemPhysMater Type: main |
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