- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
-
Online-Ressource
- Sprache
-
Englisch
- Anmerkungen
-
In: 10.23967/c.coupled.2023.023
- Ereignis
-
Veröffentlichung
- (wo)
-
Aachen
- (wer)
-
Universitätsbibliothek der RWTH Aachen
- (wann)
-
2023
- Urheber
- DOI
-
10.18154/RWTH-2023-10861
- URN
-
urn:nbn:de:101:1-2023112500341765018703
- Rechteinformation
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
15.08.2025, 07:28 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
- Reese, Stefanie
- Manjunatha, Kiran
- Shi, Jianye
- Sesa, Mahmoud Ahmed Ali Mohamed Ali
- Universitätsbibliothek der RWTH Aachen
Entstanden
- 2023
Ähnliche Objekte (12)
Theorie und Numerik des Stabilitätsverhaltens hyperelastischer Festkörper
Deep learning‐based surrogate modeling of coronary in‐stent restenosis
Fast simulation of coronary in‐stent restenosis: A non‐intrusive data‐driven reduced order surrogate model
Thermomechanische Modellierung gummiartiger Polymerstrukturen
Finite element technologies for stent simulations
Deep learning‐based surrogate modeling of coronary in‐stent restenosis
Fast simulation of coronary in‐stent restenosis: A non‐intrusive data‐driven reduced order surrogate model
A coupled multiphysics approach for modelling in-stent restenosis
Data-driven reduced order surrogate modeling for coronary in-stent restenosis
Numerical implementation of tension–compression asymmetry in a gradient‐extended two‐surface damage–plasticity model
A two‐surface damage‐plasticity model based on a Drucker—Prager yield criterion
A variational concept and its experimental calibration for temperature‐induced rate‐dependent phase transformations in steel
Theorie und Numerik des Stabilitätsverhaltens hyperelastischer Festkörper
Deep learning‐based surrogate modeling of coronary in‐stent restenosis
Fast simulation of coronary in‐stent restenosis: A non‐intrusive data‐driven reduced order surrogate model
Thermomechanische Modellierung gummiartiger Polymerstrukturen
Finite element technologies for stent simulations
Deep learning‐based surrogate modeling of coronary in‐stent restenosis
Fast simulation of coronary in‐stent restenosis: A non‐intrusive data‐driven reduced order surrogate model
A coupled multiphysics approach for modelling in-stent restenosis
Data-driven reduced order surrogate modeling for coronary in-stent restenosis
Numerical implementation of tension–compression asymmetry in a gradient‐extended two‐surface damage–plasticity model
A two‐surface damage‐plasticity model based on a Drucker—Prager yield criterion
A variational concept and its experimental calibration for temperature‐induced rate‐dependent phase transformations in steel
Theorie und Numerik des Stabilitätsverhaltens hyperelastischer Festkörper
Deep learning‐based surrogate modeling of coronary in‐stent restenosis
Fast simulation of coronary in‐stent restenosis: A non‐intrusive data‐driven reduced order surrogate model
Thermomechanische Modellierung gummiartiger Polymerstrukturen
Finite element technologies for stent simulations
Deep learning‐based surrogate modeling of coronary in‐stent restenosis
Fast simulation of coronary in‐stent restenosis: A non‐intrusive data‐driven reduced order surrogate model
A coupled multiphysics approach for modelling in-stent restenosis
Data-driven reduced order surrogate modeling for coronary in-stent restenosis
Numerical implementation of tension–compression asymmetry in a gradient‐extended two‐surface damage–plasticity model
A two‐surface damage‐plasticity model based on a Drucker—Prager yield criterion