Machine learning to predict morphology, topography and mechanical properties of sustainable gelatin-based electrospun scaffolds
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
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1 Online-Ressource.
- Sprache
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Englisch
- Erschienen in
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Machine learning to predict morphology, topography and mechanical properties of sustainable gelatin-based electrospun scaffolds ; volume:14 ; number:1 ; day:9 ; month:9 ; year:2024 ; pages:1-15 ; date:12.2024
Scientific reports ; 14, Heft 1 (9.9.2024), 1-15, 12.2024
- Urheber
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Roldán, Elisa
Reeves, Neil D.
Cooper, Glen
Andrews, Kirstie
- Beteiligte Personen und Organisationen
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SpringerLink (Online service)
- DOI
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10.1038/s41598-024-71824-2
- URN
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urn:nbn:de:101:1-2411232104595.630731968945
- Rechteinformation
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
15.08.2025, 07:33 MESZ
Datenpartner
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Beteiligte
- Roldán, Elisa
- Reeves, Neil D.
- Cooper, Glen
- Andrews, Kirstie
- SpringerLink (Online service)
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