Physics-informed neural networks for solving time-dependent mode-resolved phonon Boltzmann transport equation
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
-
1 Online-Ressource.
- Sprache
-
Englisch
- Erschienen in
-
Physics-informed neural networks for solving time-dependent mode-resolved phonon Boltzmann transport equation ; volume:9 ; number:1 ; day:25 ; month:11 ; year:2023 ; pages:1-9 ; date:12.2023
npj computational materials ; 9, Heft 1 (25.11.2023), 1-9, 12.2023
- Urheber
-
Zhou, Jiahang
Li, Ruiyang
Luo, Tengfei
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
-
10.1038/s41524-023-01165-7
- URN
-
urn:nbn:de:101:1-2024021310461552278598
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
15.08.2025, 07:29 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
- Zhou, Jiahang
- Li, Ruiyang
- Luo, Tengfei
- SpringerLink (Online service)
Ähnliche Objekte (12)
Modeling of additive manufacturing processes with time‐dependent material properties using physics‐informed neural networks
Stiff-PDEs and Physics-Informed Neural Networks
Physics-informed shape optimization using coordinate projection
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
Estimating the time-dependent contact rate of SIR and SEIR models in mathematical epidemiology using physics-informed neural networks
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
Modeling of additive manufacturing processes with time‐dependent material properties using physics‐informed neural networks
Stiff-PDEs and Physics-Informed Neural Networks
Physics-informed shape optimization using coordinate projection
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
Estimating the time-dependent contact rate of SIR and SEIR models in mathematical epidemiology using physics-informed neural networks
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
Modeling of additive manufacturing processes with time‐dependent material properties using physics‐informed neural networks
Stiff-PDEs and Physics-Informed Neural Networks
Physics-informed shape optimization using coordinate projection
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
Estimating the time-dependent contact rate of SIR and SEIR models in mathematical epidemiology using physics-informed neural networks
Learning free-surface flow with physics-informed neural networks
Physics-informed neural networks applied to catastrophic creeping landslides