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Moritz Flaschel
Moritz Flaschel
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Title
Cited by
Cited by
Year
Unsupervised discovery of interpretable hyperelastic constitutive laws
M Flaschel, S Kumar, L De Lorenzis
Computer Methods in Applied Mechanics and Engineering 381, 113852, 2021
252021
Discovering plasticity models without stress data
M Flaschel, S Kumar, L De Lorenzis
npj Computational Materials 8 (1), 1-10, 2022
42022
NN-EUCLID: deep-learning hyperelasticity without stress data
P Thakolkaran, A Joshi, Y Zheng, M Flaschel, L De Lorenzis, S Kumar
arXiv preprint arXiv:2205.06664, 2022
12022
FEM Data - Discovering plasticity models without stress data
M Flaschel, S Kumar, L De Lorenzis
ETH Zurich, 2022
12022
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
1*2020
Bayesian-EUCLID: discovering hyperelastic material laws with uncertainties
A Joshi, P Thakolkaran, Y Zheng, M Escande, M Flaschel, L De Lorenzis, ...
arXiv preprint arXiv:2203.07422, 2022
2022
FEM Data - Unsupervised discovery of interpretable hyperelastic constitutive laws
M Flaschel, S Kumar, L De Lorenzis
ETH Zurich, 2021
2021
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