- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
-
1 Online-Ressource.
- Sprache
-
Englisch
- Erschienen in
-
Physics-informed shape optimization using coordinate projection ; volume:14 ; number:1 ; day:19 ; month:3 ; year:2024 ; pages:1-12 ; date:12.2024
Scientific reports ; 14, Heft 1 (19.3.2024), 1-12, 12.2024
- Urheber
-
Zhang, Zhizhou
Lin, Chungwei
Wang, Bingnan
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
-
10.1038/s41598-024-57137-4
- URN
-
urn:nbn:de:101:1-2405211125163.600818694603
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
14.08.2025, 10:56 MESZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Beteiligte
- Zhang, Zhizhou
- Lin, Chungwei
- Wang, Bingnan
- SpringerLink (Online service)
Ähnliche Objekte (12)
Shape‐optimization of extrusion‐dies via parameterized physics‐informed neural networks
Shape‐optimization of extrusion‐dies via parameterized physics‐informed neural networks
Stiff-PDEs and Physics-Informed Neural Networks
Physics‐Informed Inverse Design of Programmable Metasurfaces
Physics-informed regression of implicitly-constrained robot dynamics
Predicting glass structure by physics-informed machine learning
Physics-Informed Masked Autoencoder for active sparse imaging
Physics-Informed Deep Learning for Advanced Medical Ultrasound
Learning free-surface flow with physics-informed neural networks
Physics-informed neural networks applied to catastrophic creeping landslides
Physics-informed neural networks applied to catastrophic creeping landslides
Physics‐Informed Machine Learning for Optical Modes in Composites
Shape‐optimization of extrusion‐dies via parameterized physics‐informed neural networks
Shape‐optimization of extrusion‐dies via parameterized physics‐informed neural networks
Stiff-PDEs and Physics-Informed Neural Networks
Physics‐Informed Inverse Design of Programmable Metasurfaces
Physics-informed regression of implicitly-constrained robot dynamics
Predicting glass structure by physics-informed machine learning
Physics-Informed Masked Autoencoder for active sparse imaging
Physics-Informed Deep Learning for Advanced Medical Ultrasound
Learning free-surface flow with physics-informed neural networks
Physics-informed neural networks applied to catastrophic creeping landslides
Physics-informed neural networks applied to catastrophic creeping landslides
Physics‐Informed Machine Learning for Optical Modes in Composites
Shape‐optimization of extrusion‐dies via parameterized physics‐informed neural networks
Shape‐optimization of extrusion‐dies via parameterized physics‐informed neural networks
Stiff-PDEs and Physics-Informed Neural Networks
Physics‐Informed Inverse Design of Programmable Metasurfaces
Physics-informed regression of implicitly-constrained robot dynamics
Predicting glass structure by physics-informed machine learning
Physics-Informed Masked Autoencoder for active sparse imaging
Physics-Informed Deep Learning for Advanced Medical Ultrasound
Learning free-surface flow with physics-informed neural networks
Physics-informed neural networks applied to catastrophic creeping landslides
Physics-informed neural networks applied to catastrophic creeping landslides