| Unsupervised discovery of interpretable hyperelastic constitutive laws M Flaschel, S Kumar, L De Lorenzis Computer Methods in Applied Mechanics and Engineering 381, 113852, 2021 | 88 | 2021 |
| 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 | 32 | 2022 |
| Discovering plasticity models without stress data M Flaschel, S Kumar, L De Lorenzis npj Computational Materials 8 (1), 91, 2022 | 24 | 2022 |
| 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 | 20 | 2022 |
| 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 | 16 | 2023 |
| Automated identification of linear viscoelastic constitutive laws with EUCLID E Marino, M Flaschel, S Kumar, L De Lorenzis Mechanics of Materials 181, 104643, 2023 | 11 | 2023 |
| Discovering plasticity models without stress data. npj Computational Materials 8, 91 M Flaschel, S Kumar, L De Lorenzis URL: https://www. nature. com/articles/s41524-022-00752-4, doi 10, 2022 | 6 | 2022 |
| FEM Data - Discovering plasticity models without stress data M Flaschel, S Kumar, L De Lorenzis ETH Zurich, 2022 | 3 | 2022 |
| FEM Data - Unsupervised discovery of interpretable hyperelastic constitutive laws M Flaschel, S Kumar, L De Lorenzis ETH Zurich, 2021 | 3 | 2021 |
| 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 | 3 | 2020 |
| Automated Discovery of Material Models in Continuum Solid Mechanics M Flaschel ETH Zurich, 2023 | 2 | 2023 |
| Automated discovery of interpretable hyperelastic material models for human brain tissue with EUCLID M Flaschel, H Yu, N Reiter, J Hinrichsen, S Budday, P Steinmann, ... arXiv preprint arXiv:2305.16362, 2023 | 1 | 2023 |
| Single-test evaluation of directional elastic properties of anisotropic structured materials J Boddapati, M Flaschel, S Kumar, L De Lorenzis, C Daraio arXiv preprint arXiv:2304.09112, 2023 | 1 | 2023 |
| FEM Data-Automated discovery of generalized standard material models with EUCLID M Flaschel, S Kumar, L De Lorenzis ETH Zurich, 2022 | 1 | 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 | | |
Laura De LorenzisETH ZürichVerified email at ethz.ch
