| Model-free Adaptive Optimal Control of Episodic Fixed-horizon Manufacturing Processes Using Reinforcement Learning J Dornheim, N Link, P Gumbsch International Journal of Control, Automation and Systems 18 (6), 1593–1604, 2020 | 54 | 2020 |
| Deep Reinforcement Learning Methods for Structure-Guided Processing Path Optimization J Dornheim, L Morand, S Zeitvogel, T Iraki, N Link, D Helm Journal of Intelligent Manufacturing 33, 333–352, 2022 | 25 | 2022 |
| Neural Networks for Constitutive Modeling: From Universal Function Approximators to Advanced Models and the Integration of Physics J Dornheim, L Morand, HJ Nallani, D Helm Archives of Computational Methods in Engineering, 1-31, 2023 | 20 | 2023 |
| Multiobjective reinforcement learning for reconfigurable adaptive optimal control of manufacturing processes J Dornheim, N Link 2018 International Symposium on Electronics and Telecommunications (ISETC), 1-5, 2018 | 15 | 2018 |
| A multi-task learning-based optimization approach for finding diverse sets of microstructures with desired properties T Iraki, L Morand, J Dornheim, N Link, D Helm Journal of Intelligent Manufacturing 35 (4), 1887-1903, 2024 | 10 | 2024 |
| Efficient exploration of microstructure-property spaces via active learning L Morand, N Link, T Iraki, J Dornheim, D Helm Frontiers in Materials 8, 2022 | 9 | 2022 |
| Model-free adaptive optimal control of sequential manufacturing processes using reinforcement learning J Dornheim, N Link, P Gumbsch arXiv. org, 2019 | 5 | 2019 |
| Gtlo: A generalized and non-linear multi-objective deep reinforcement learning approach J Dornheim arXiv preprint arXiv:2204.04988, 2022 | 4 | 2022 |
| Simulation of texture evolution for a multi-step metal forming process L Morand, J Dornheim, J Pagenkopf, D Helm | 3 | 2021 |
| Joint optimization for multi-person shape models from markerless 3d-scans S Zeitvogel, J Dornheim, A Laubenheimer Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 3 | 2020 |
| Evaluation of machine learning algorithms for smurf detection R Hippe, J Dornheim, S Zeitvogel, A Laubenheimer CERC2017, 65, 2017 | 3 | 2017 |
| Artificially generated crystallographic textures of steel sheets and their corresponding properties calculated by a Taylor-type crystal plasticity model L Morand, T Iraki, J Dornheim, J Pagenkopf, D Helm | 2 | 2021 |
| Exploring the Limits of Driving Stability Using Reinforcement Learning for Vehicle Dynamics Simulation Y Cui, D Braunstedter, J Dornheim, M Knaup ATZelectronics worldwide 19 (11), 8-13, 2024 | | 2024 |
| Exploration der Fahrstabilitätsgrenzen mit Reinforcement Learning für Fahrdynamiksimulationen Y Cui, D Braunstedter, J Dornheim, M Knaup ATZelektronik 19 (11), 16-21, 2024 | | 2024 |
| Machine learning for structure-guided materials and process design L Morand, T Iraki, J Dornheim, S Sandfeld, N Link, D Helm arXiv preprint arXiv:2312.14552, 2023 | | 2023 |
| Modellfreies Lernen optimaler zeitdiskreter Regelungsstrategien für Fertigungsprozesse mit endlichem Zeithorizont J Dornheim KIT Scientific Publishing, 2021 | | 2021 |
| Sets of exemplary microstructure-property data generated via active learning and numerical simulations L Morand, T Iraki, J Dornheim, N Link, D Helm | | 2021 |
| Inverse Process-Structure-Property Mapping N Link, T Iraki, J Dornheim Research Impact on Key Industries, 2020 | | 2020 |
| Reinforcement Learning Based Approach for Optimal Deep Drawing Process Control J Dornheim, N Link CERC2017, 129, 2017 | | 2017 |
| Interaction analysis through fuzzy temporal logic: Extensions for clustering and parameter learning J IJsselmuiden, J Dornheim 2015 12th IEEE International Conference on Advanced Video and Signal Based …, 2015 | | 2015 |
Dirk HelmFraunhofer Institute for Mechanics of Materials IWM在 iwm.fraunhofer.de 的电子邮件经过验证
