| Structured model order reduction for vibro-acoustic problems using interpolation and balancing methods Q Aumann, SWR Werner Journal of Sound and Vibration 543, 117363, 2023 | 9 | 2023 |
| Modeling and optimizing an acoustic metamaterial to minimize low-frequency structure-borne sound DJ Jagodzinski, M Miksch, Q Aumann, G Müller Mechanics Based Design of Structures and Machines 50 (8), 2877-2891, 2022 | 9 | 2022 |
| Automatic model order reduction for systems with frequency-dependent material properties Q Aumann, E Deckers, S Jonckheere, W Desmet, G Müller Computer Methods in Applied Mechanics and Engineering 397, 115076, 2022 | 8 | 2022 |
| Practical challenges in data‐driven interpolation: Dealing with noise, enforcing stability, and computing realizations Q Aumann, IV Gosea International Journal of Adaptive Control and Signal Processing, 2023 | 6 | 2023 |
| Robust error assessment for reduced order vibro-acoustic problems Q Aumann, G Müller Journal of Sound and Vibration 545, 117427, 2023 | 5 | 2023 |
| Parametric model order reduction for acoustic metamaterials based on local thickness variations Q Aumann, M Miksch, G Müller Journal of Physics: Conference Series 1264 (1), 012014, 2019 | 5 | 2019 |
| Reducing structure‐borne noise in thin‐walled structures by local thickness variations M Miksch, Q Aumann, G Müller PAMM 18 (1), e201800177, 2018 | 5 | 2018 |
| Predicting near optimal interpolation points for parametric model order reduction using regression models Q Aumann, G Müller PAMM 20 (S1), e202000352, 2021 | 4 | 2021 |
| A‐priori pole selection for reduced models in vibro‐acoustics Q Aumann, G Müller PAMM 19 (1), e201900205, 2019 | 3 | 2019 |
| A tangential interpolation framework for the AAA algorithm Q Aumann, P Benner, IV Gosea, J Saak, J Vettermann PAMM 23 (3), e202300183, 2023 | 1 | 2023 |
| Model Order Reduction Strategies for the Computation of Compact Machine Tool Models Q Aumann, P Benner, J Saak, J Vettermann International Conference on Thermal Issues in Machine Tools, 132-145, 2023 | 1 | 2023 |
| An Adaptive Method for Reducing Second-order Dynamical Systems Q Aumann, G Müller IFAC-PapersOnLine 55 (20), 337-342, 2022 | 1 | 2022 |
| Numerical models for evaluating the vibro‐acoustic properties of acoustic metamaterials Q Aumann, M Miksch, G Müller PAMM 18 (1), e201800174, 2018 | 1 | 2018 |
| A modified AAA algorithm for learning stable reduced-order models from data T Bradde, S Grivet-Talocia, Q Aumann, IV Gosea arXiv preprint arXiv:2312.16978, 2023 | | 2023 |
| MWCAWE: A multivariate WCAWE approach for parametric model order reduction, and a sampling strategy for the bivariate case R Rumpler, Q Aumann Journal of Computational Physics 490, 112319, 2023 | | 2023 |
| Adaptive choice of near-optimal expansion points for interpolation-based structure-preserving model reduction Q Aumann, SWR Werner arXiv preprint arXiv:2305.10806, 2023 | | 2023 |
| Model order reduction via substructuring for a nonlinear, differential‐algebraic machine tool model with moving loads Q Aumann, P Benner, J Saak, J Vettermann PAMM 23 (1), e202200286, 2023 | | 2023 |
| Comparing the effectiveness of structure-preserving model order reduction methods for vibro-acoustic problems Q Aumann, SW Werner The Journal of the Acoustical Society of America 152 (4), A134-A134, 2022 | | 2022 |
| Efficient and robust interpolation-based model order reduction of vibro-acoustic problems QJ Aumann Technische Universität München, 2022 | | 2022 |
| Automatic model order reduction for vibro‐acoustic problems Q Aumann, G Müller PAMM 20 (1), e202000243, 2021 | | 2021 |
Ion Victor GoseaMax Planck Institute for Dynamics of Complex Technical SystemsVerified email at mpi-magdeburg.mpg.de
