| Deep learning in computational mechanics S Kollmannsberger, D D’Angella, M Jokeit, L Herrmann Springer International Publishing, 2021 | 44* | 2021 |
| Physics-informed neural networks S Kollmannsberger, D D'Angella, M Jokeit, L Herrmann, ... Deep Learning in Computational Mechanics: An Introductory Course, 55-84, 2021 | 19 | 2021 |
| On the use of neural networks for full waveform inversion L Herrmann, T Bürchner, F Dietrich, S Kollmannsberger Computer Methods in Applied Mechanics and Engineering 415, 116278, 2023 | 7 | 2023 |
| Deep learning in computational mechanics: a review L Herrmann, S Kollmannsberger Computational Mechanics, 1-51, 2024 | 5 | 2024 |
| Deep energy method S Kollmannsberger, D D'Angella, M Jokeit, L Herrmann, ... Deep Learning in Computational Mechanics: An Introductory Course, 85-91, 2021 | 5 | 2021 |
| Transfer learning enhanced full waveform inversion S Kollmannsberger, D Singh, L Herrmann 2023 IEEE/ASME International Conference on Advanced Intelligent Mechatronics …, 2023 | 4 | 2023 |
| An efficient stiffness degradation model for layered composites with arbitrarily oriented tunneling and delamination cracks L Herrmann, LP Mikkelsen, BN Legarth, F Duddeck, CF Niordson Composites Science and Technology 230, 109729, 2022 | 4 | 2022 |
| A special finite element method applied to off-axis tunnel cracking in laminates LP Mikkelsen, BN Legarth, L Herrmann, MM Christensen, CF Niordson Engineering Fracture Mechanics 268, 108387, 2022 | 4 | 2022 |
| Fundamental concepts of machine learning S Kollmannsberger, D D'Angella, M Jokeit, L Herrmann, ... Deep Learning in Computational Mechanics: An Introductory Course, 5-18, 2021 | 3 | 2021 |
| Generative Adversarial Networks Enable Outlier Detection and Property Monitoring for Additive Manufacturing of Complex Structures A Henkes, L Herrmann, H Wessels, S Kollmannsberger Available at SSRN 4711476, 2024 | 1* | 2024 |
| Geomechanisch-hydraulische Charakterisierung von tiefengeothermalen Reservoiren in Bayern C Drexl, J Mattheis, L Herrmann, M Potten, S Kollmannsberger, K Thuro Geothermische Energie 32 (104), 2023 | 1 | 2023 |
| From ductile damage to unilateral contact via a point-wise implicit discontinuity A Daneshyar, L Herrmann, S Kollmannsberger Computational Mechanics 73 (4), 857-872, 2024 | | 2024 |
| The Discontinuous Strain Method: accurately representing fatigue and failure L Herrmann, A Daneshyar, S Kollmannsberger arXiv preprint arXiv:2312.00564, 2023 | | 2023 |
| Fracturing of rocks in Bavarian geothermal reservoirs–Experimental and numerical investigation of borehole stability J Mattheis, C Drexl, L Herrmann, R Yildirim, K Thuro EGU23, 2023 | | 2023 |
| The influence of the fiber–matrix microstructure on the energy release rate of off-axis tunnel cracks in laminates L Herrmann, LP Mikkelsen, BN Legarth, CF Niordson Composites Part B: Engineering 247, 110338, 2022 | | 2022 |
| Predicting arbitrarily oriented tunnel cracks in composites using a special 2D finite element method LP Mikkelsen, L Herrmann, BN Legarth, CF Niordson 18th European Mechanics of Materials Conference, 2022 | | 2022 |
| Department of Wind Energy Master Report L Herrmann | | 2021 |
| Machine Learning in Physics and Engineering S Kollmannsberger, D D'Angella, M Jokeit, L Herrmann, ... Deep Learning in Computational Mechanics: An Introductory Course, 47-54, 2021 | | 2021 |
| On the Use of Neural Networks for Inverse Problems L Herrmann, T Bürchner, S Kollmannsberger | | |
| The Compliance Method for Tunnel and Delamination Cracks L Herrmann, LP Mikkelsen, BN Legarth, CF Niordson Available at SSRN 4749947, 0 | | |
