| 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 | 5 | 2016 |
| 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 | 4 | 2023 |
| 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 |
| Software Engineering meets Artificial Intelligence H Klus, C Knieke, A Rausch, S Wittek Electronic Communications of the EASST 82, 2023 | 1 | 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 | 1 | 2023 |
| 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 | | 2024 |
| Nonlinear model reduction for operator learning H Eivazi, S Wittek, A Rausch arXiv preprint arXiv:2403.18735, 2024 | | 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 | | 2024 |
| Introduction to the Minitrack on AI-based Methods and Applications for Software Engineering S Wittek, S Herold, A Rausch | | 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 | | 2023 |
| 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 |
| A Flood Prediction Benchmark Focused on Unknown Extreme Events D Bratzel, S Wittek, A Rausch | | 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 |
| Usage of Machine Learning for Subtopology Detection in Wire and Arc Additive Manufacturing D Bratzel, S Wittek, A Rausch, K Treutler, T Gehrling, V Wesling Proceeding of the ADAPTIVE 2022, 32 to 37, 2022 | | 2022 |
| Konsistente, Verteilungskonforme Multi-Level-Simulation auf Basis gelernter, nicht-determinierter Abstraktionsübergänge S Wittek Clausthal University of Technology, 2021 | | 2021 |
| Entwurf und Evaluation eines Kommunikationskanals für Gesten in kollaborativen virtuellen 3D-Welten. SHA Wittek, N Pinkwart MuC, 75-84, 2014 | | 2014 |
| Speed up of co-simulation by a heuristic time warp mechanism C Bartelt, K Rehfeldt, SHA Wittek 2014 4th International Conference On Simulation And Modeling Methodologies …, 2014 | | 2014 |
Andreas RauschFull Professor for Software Systems Engineering, Institute for Software & Systems Engineering, TUVerified email at tu-clausthal.de
