Thermal fluid fields reconstruction for nanofluids convection based on physics-informed deep learning
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
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2045-2322
- Umfang
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Online-Ressource
- Sprache
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Englisch
- Anmerkungen
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online resource.
- Erschienen in
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Thermal fluid fields reconstruction for nanofluids convection based on physics-informed deep learning ; volume:12 ; number:1 ; day:22 ; month:7 ; year:2022 ; pages:1-23 ; date:12.2022
Scientific reports ; 12, Heft 1 (22.7.2022), 1-23, 12.2022
- Urheber
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Li, Yunzhu
Liu, Tianyuan
Xie, Yonghui
- Beteiligte Personen und Organisationen
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SpringerLink (Online service)
- DOI
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10.1038/s41598-022-16463-1
- URN
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urn:nbn:de:101:1-2022100321542560678790
- Rechteinformation
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
15.08.2025, 07:21 MESZ
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Beteiligte
- Li, Yunzhu
- Liu, Tianyuan
- Xie, Yonghui
- SpringerLink (Online service)
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