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Moritz Flaschel
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2020 – today
- 2024
- [i8]Ulrich Römer, Stefan Hartmann, Jendrik-Alexander Tröger, David Anton, Henning Wessels, Moritz Flaschel, Laura De Lorenzis:
Reduced and All-at-Once Approaches for Model Calibration and Discovery in Computational Solid Mechanics. CoRR abs/2404.16980 (2024) - [i7]Jan Niklas Fuhg, Govinda Anantha Padmanabha, Nikolaos Bouklas, Bahador Bahmani, WaiChing Sun, Nikolaos N. Vlassis, Moritz Flaschel, Pietro Carrara, Laura De Lorenzis:
A review on data-driven constitutive laws for solids. CoRR abs/2405.03658 (2024) - 2023
- [i6]Moritz Flaschel, Huitian Yu, Nina Reiter, Jan Hinrichsen, Silvia Budday, Paul Steinmann, Siddhant Kumar, Laura De Lorenzis:
Automated discovery of interpretable hyperelastic material models for human brain tissue with EUCLID. CoRR abs/2305.16362 (2023) - 2022
- [i5]Moritz Flaschel, Siddhant Kumar, Laura De Lorenzis:
Discovering plasticity models without stress data. CoRR abs/2202.04916 (2022) - [i4]Akshay Joshi, Prakash Thakolkaran, Yiwen Zheng, Maxime Escande, Moritz Flaschel, Laura De Lorenzis, Siddhant Kumar:
Bayesian-EUCLID: discovering hyperelastic material laws with uncertainties. CoRR abs/2203.07422 (2022) - [i3]Prakash Thakolkaran, Akshay Joshi, Yiwen Zheng, Moritz Flaschel, Laura De Lorenzis, Siddhant Kumar:
NN-EUCLID: deep-learning hyperelasticity without stress data. CoRR abs/2205.06664 (2022) - [i2]Moritz Flaschel, Siddhant Kumar, Laura De Lorenzis:
Automated discovery of generalized standard material models with EUCLID. CoRR abs/2211.04453 (2022) - 2020
- [i1]Moritz Flaschel, Siddhant Kumar, Laura De Lorenzis:
Unsupervised discovery of interpretable hyperelastic constitutive laws. CoRR abs/2010.13496 (2020)
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