- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
-
Online-Ressource
- Sprache
-
Englisch
- Erschienen in
-
In: 10.1016/j.cma.2024.117517
- Ereignis
-
Veröffentlichung
- (wo)
-
Aachen
- (wer)
-
Universitätsbibliothek der RWTH Aachen
- (wann)
-
2024
- Urheber
- DOI
-
10.18154/RWTH-2024-11043
- URN
-
urn:nbn:de:101:1-2412100125270.402592759415
- Rechteinformation
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
- 15.08.2025, 07:21 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
- Linka, Kevin
- Holzapfel, Gerhard A.
- Kuhl, Ellen
- Universitätsbibliothek der RWTH Aachen
Entstanden
- 2024
Ähnliche Objekte (12)
Comparing frequentist and Bayesian uncertainty quantification in two‐step constitutive model calibration
Polyconvex inelastic constitutive artificial neural networks
Polyconvex inelastic constitutive artificial neural networks
Constitutive artificial neural networks : a general anisotropic constitutive modeling framework utilizing machine learning
Constitutive artificial neural networks: a general anisotropic constitutive modeling framework utilizing machine learning
Discovering causal interactions using Bayesian network scoring and information gain
A Bayesian model of knightian uncertainty
Polymorphic uncertainty in constitutive modeling of polymer composites at different scales
Uncertainty in subject matter education—Constitutive element and fruitful instructional strategy?
Constitutive artificial neural networks : a fast and general approach to predictive data-driven constitutive modeling by deep learning
Bayesian blacksmithing: discovering thermomechanical properties and deformation mechanisms in high-entropy refractory alloys
Automated constitutive modeling of isotropic hyperelasticity based on artificial neural networks
Comparing frequentist and Bayesian uncertainty quantification in two‐step constitutive model calibration
Polyconvex inelastic constitutive artificial neural networks
Polyconvex inelastic constitutive artificial neural networks
Constitutive artificial neural networks : a general anisotropic constitutive modeling framework utilizing machine learning
Constitutive artificial neural networks: a general anisotropic constitutive modeling framework utilizing machine learning
Discovering causal interactions using Bayesian network scoring and information gain
A Bayesian model of knightian uncertainty
Polymorphic uncertainty in constitutive modeling of polymer composites at different scales
Uncertainty in subject matter education—Constitutive element and fruitful instructional strategy?
Constitutive artificial neural networks : a fast and general approach to predictive data-driven constitutive modeling by deep learning
Bayesian blacksmithing: discovering thermomechanical properties and deformation mechanisms in high-entropy refractory alloys
Automated constitutive modeling of isotropic hyperelasticity based on artificial neural networks
Comparing frequentist and Bayesian uncertainty quantification in two‐step constitutive model calibration
Polyconvex inelastic constitutive artificial neural networks
Polyconvex inelastic constitutive artificial neural networks
Constitutive artificial neural networks : a general anisotropic constitutive modeling framework utilizing machine learning
Constitutive artificial neural networks: a general anisotropic constitutive modeling framework utilizing machine learning
Discovering causal interactions using Bayesian network scoring and information gain
A Bayesian model of knightian uncertainty
Polymorphic uncertainty in constitutive modeling of polymer composites at different scales
Uncertainty in subject matter education—Constitutive element and fruitful instructional strategy?
Constitutive artificial neural networks : a fast and general approach to predictive data-driven constitutive modeling by deep learning
Bayesian blacksmithing: discovering thermomechanical properties and deformation mechanisms in high-entropy refractory alloys