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Moritz Flaschel
Moritz Flaschel
Bestätigte E-Mail-Adresse bei ethz.ch - Startseite
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Zitiert von
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Unsupervised discovery of interpretable hyperelastic constitutive laws
M Flaschel, S Kumar, L De Lorenzis
Computer Methods in Applied Mechanics and Engineering 381, 113852, 2021
572021
NN-EUCLID: Deep-learning hyperelasticity without stress data
P Thakolkaran, A Joshi, Y Zheng, M Flaschel, L De Lorenzis, S Kumar
Journal of the Mechanics and Physics of Solids 169, 105076, 2022
132022
Discovering plasticity models without stress data
M Flaschel, S Kumar, L De Lorenzis
npj Computational Materials 8 (1), 91, 2022
112022
Bayesian-EUCLID: Discovering hyperelastic material laws with uncertainties
A Joshi, P Thakolkaran, Y Zheng, M Escande, M Flaschel, L De Lorenzis, ...
Computer Methods in Applied Mechanics and Engineering 398, 115225, 2022
82022
Automated discovery of generalized standard material models with EUCLID
M Flaschel, S Kumar, L De Lorenzis
Computer Methods in Applied Mechanics and Engineering 405, 115867, 2023
32023
Automated identification of linear viscoelastic constitutive laws with EUCLID
E Marino, M Flaschel, S Kumar, L De Lorenzis
arXiv preprint arXiv:2212.10969, 2022
22022
FEM Data - Discovering plasticity models without stress data
M Flaschel, S Kumar, L De Lorenzis
ETH Zurich, 2022
22022
FEM Data - Unsupervised discovery of interpretable hyperelastic constitutive laws
M Flaschel, S Kumar, L De Lorenzis
ETH Zurich, 2021
22021
Calibration of material parameters based on 180° and 90° ferroelectric domain wall properties in Ginzburg–Landau–Devonshire phase field models
M Flaschel, L De Lorenzis
Archive of Applied Mechanics 90 (12), 2755–2774, 2020
22020
FEM Data-Automated discovery of generalized standard material models with EUCLID
M Flaschel, S Kumar, L De Lorenzis
ETH Zurich, 2022
2022
Experimental Validation of the EUCLID approach for Unsupervised Discovery of Hyperelastic Constitutive Laws
M Ricci1a, P Carrara, M Flaschel, S Kumar, S Marfia, L De Lorenzis
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