| FE2 Computations with Deep Neural Networks: Algorithmic Structure, Data Generation, and Implementation H Eivazi, JA Tröger, S Wittek, S Hartmann, A Rausch Mathematical and Computational Applications 28 (4), 91, 2023 | 12 | 2023 |
| Towards multi-level-simulation using dynamic cloud environments SHA Wittek, M Göttsche, A Rausch, J Grabowski 2016 6th International Conference on Simulation and Modeling Methodologies …, 2016 | 6 | 2016 |
| Dynamic management of multi-level-simulation workflows in the cloud J Erbel, S Wittek, J Grabowski, A Rausch Simulation Science: Second International Workshop, SimScience 2019 …, 2020 | 4 | 2020 |
| Learning state mappings in multi-level-simulation S Wittek, A Rausch Simulation Science: First International Workshop, SimScience 2017, Göttingen …, 2018 | 4 | 2018 |
| Nonlinear model reduction for operator learning H Eivazi, S Wittek, A Rausch arXiv preprint arXiv:2403.18735, 2024 | 3 | 2024 |
| Assessment of the suitability of degradation models for the planning of CCTV inspections of sewer pipes F El Morer, S Wittek, A Rausch Urban Water Journal 21 (2), 190-203, 2024 | 3 | 2024 |
| Betty’s (Re) Search Engine: A client-based search engine for research software stored in repositories. V Seibert, A Rausch, S Wittek ing. grid 1 (2), 2024 | 2 | 2024 |
| Efficient integration of deep neural networks in sequential multiscale simulations JA Tröger, H Eivazi, S Hartmann, S Wittek, A Rausch PAMM 23 (4), e202300052, 2023 | 2 | 2023 |
| Potentials and challenges of applying artificial intelligence (AI) ie> geosciences for the search of a repository of high-level waste in Germany F Krob, J Krohn, V Ustohalova, S Wittek, D Bratzel EGU General Assembly Conference Abstracts, EGU-16757, 2023 | 2 | 2023 |
| Enhancing multiscale simulations with constitutive relations‐aware deep operator networks H Eivazi, M Alikhani, JA Tröger, S Wittek, S Hartmann, A Rausch PAMM 24 (2), e202400123, 2024 | 1 | 2024 |
| Software Engineering Meets Artificial Intelligence H Klus, C Knieke, A Rausch, S Wittek Electronic Communications of the EASST 82, 2023 | 1 | 2023 |
| DiffBatt: A Diffusion Model for Battery Degradation Prediction and Synthesis H Eivazi, A Hebenbrock, R Ginster, S Blömeke, S Wittek, C Herrmann, ... arXiv preprint arXiv:2410.23893, 2024 | | 2024 |
| Physics-informed deep operator networks for multiscale simulations H Eivazi, JA Tröger, S Wittek, S Hartmann, A Rausch SWZ Mini Workshop “Simulation meets AI”, 2024 | | 2024 |
| HICSS-57 Minitrack: AI-based Methods and Applications for Software Engineering S Wittek, S Herold, A Rausch 57th Hawaii International Conference on System Sciences, Honolulu, Hawaii …, 2024 | | 2024 |
| Potential and challenges of applying artificial intelligence (AI) in geosciences to the search for a high-level waste repository in Germany F Magri, I Kock, J Krohn, F Krob, V Ustohalova, S Wittek, D Bratzel Safety of Nuclear Waste Disposal 2, 139-140, 2023 | | 2023 |
| Anwendung der künstlichen Intelligenz (KI) für die Standortauswahl von tiefen geologischen Endlagern (AKI): Vorhaben: 4721E03210 J Krohn, V Ustohalova, F Krob, S Chaudry, A Rausch, S Wittek, D Bratzel Bundesamt für die Sicherheit der nuklearen Entsorgung (BASE), 2023 | | 2023 |
| Application of artificial intelligence (AI) for site selection of deep geological repositories (AKI) J Krohn, V Ustohalova, F Krob, S Chaudry, A Rausch, S Wittek, D Bratzel Bundesamt für die Sicherheit der nuklearen Entsorgung (BASE), 2023 | | 2023 |
| A Flood Prediction Benchmark Focused on Unknown Extreme Events. D Bratzel, SHA Wittek, A Rausch SIMULTECH, 267-278, 2023 | | 2023 |
| Anwendung der künstlichen Intelligenz (KI) für die Standortauswahl von tiefen geologischen Endlagern (AKI) J Krohn, V Ustohalova, F Krob, S Chaudry, A Rausch, S Wittek, D Bratzel OEKO: Öko-Institut eV, 2022 | | 2022 |
| Literature study - The application and added value of artificial intelligence (AI) using the example of an oil field. A Rausch, P Jaeger, S Wittek, RM Abdalla https://dgmk.de/app/uploads/2022/07/DGMK_849_published.pdf 1 (ISBN 978-3 …, 2022 | | 2022 |
Andreas RauschFull Professor for Software Systems Engineering, Institute for Software & Systems Engineering, TUبريد إلكتروني تم التحقق منه على tu-clausthal.de
