| Challenges in vibroacoustic vehicle body simulation including uncertainties M Luegmair, JD Schmid SAE Technical Paper, 2020 | 15 | 2020 |
| Acoustics Apps: Interactive simulations for digital teaching and learning of acoustics L Moheit, JD Schmid, JM Schmid, M Eser, S Marburg The Journal of the Acoustical Society of America 149 (2), 1175-1182, 2021 | 9 | 2021 |
| Uncertainty Quantification in Vibroacoustic Analysis of a Vehicle Body Using Generalized Polynomial Chaos Expansion JD Schmid, M Luegmair, K Sepahvand, S Marburg SAE Technical Paper, 2020 | 8 | 2020 |
| Energy density-based non-negative surface contributions in interior acoustics C Gurbuz, JD Schmid, M Luegmair, S Marburg Journal of Sound and Vibration 527, 116824, 2022 | 7 | 2022 |
| Gaussian processes for transfer path analysis applied on vehicle body vibration problems C Gurbuz, M Eser, JD Schmid, S Marburg, M Luegmair SAE International Journal of Advances and Current Practices in Mobility 5 …, 2022 | 5 | 2022 |
| Variational autoencoders for dimensionality reduction of automotive vibroacoustic models JD Schmid, A Hildenbrand, C Gurbuz, M Luegmair, S Marburg SAE International Journal of Advances and Current Practices in Mobility 5 …, 2022 | 4 | 2022 |
| Realistic prediction and engineering of high-Q modes to implement stable Fano resonances in acoustic devices F Kronowetter, M Maeder, YK Chiang, L Huang, JD Schmid, S Oberst, ... Nature Communications 14 (1), 6847, 2023 | 3 | 2023 |
| Physics-informed neural networks for solving the Helmholtz equation J Schmid INTER-NOISE and NOISE-CON Congress and Conference Proceedings 267 (1), 265-268, 2023 | 2 | 2023 |
| Sensitivity Analysis of NVH Simulations with Stochastic Input Parameters for a Car Body S Cram, M Luegmair, JD Schmid, S Marburg SAE International Journal of Advances and Current Practices in Mobility 5 …, 2022 | 2 | 2022 |
| Physics-informed neural networks for acoustic boundary admittance estimation JD Schmid, P Bauerschmidt, C Gurbuz, M Eser, S Marburg Mechanical Systems and Signal Processing 215, 111405, 2024 | 1 | 2024 |
| Surrogate recycling for structures with spatially uncertain stiffness KA Hoppe, KJ Li, B Chocholaty, JD Schmid, S Schmid, K Sepahvand, ... Journal of Sound and Vibration 570, 117997, 2024 | | 2024 |
| Characterization of structural dynamic boundary conditions using physics-informed neural networks JD Schmid, P Bauerschmidt, C Gurbuz, S Marburg Fortschritte der Akustik-DAGA 2024, 50. Jahrestagung für Akustik, 18.-21 …, 2024 | | 2024 |
| Physics-informed neural networks for characterization of structural dynamic boundary conditions JD Schmid, P Bauerschmidt, C Gurbuz, S Marburg The Journal of the Acoustical Society of America 154 (4_supplement), A99-A99, 2023 | | 2023 |
| Simulation-based inference for the in situ estimation of the acoustic boundary admittance JM Schmid, JD Schmid, S Marburg The Journal of the Acoustical Society of America 154 (4_supplement), A98-A98, 2023 | | 2023 |
| Direct visualization of a Friedrich-Wintgen quasi-bound state in the continuum F Kronowetter, M Maeder, Y Chiang, L Huang, J Schmid, S Oberst, ... | | 2023 |
| Probabilistische Modellierung der Admittanzantwort einer Autokarosserie mit Hilfe eines Variational Autoencoder Ersatzmodells A Hildenbrand, JD Schmid, S Marburg Fortschritte der Akustik-DAGA 2023, 49. Jahrestagung für Akustik, 06.-09 …, 2023 | | 2023 |
| Bestimmung akustischer Randadmittanzen mittels physikalisch informierter neuronaler Netze JD Schmid, P Bauerschmidt, C Gurbuz, S Marburg Fortschritte der Akustik-DAGA 2023, 49. Jahrestagung für Akustik, 06.-09 …, 2023 | | 2023 |
| Physics-informed deep learning in computational elastodynamics JD Schmid, P Bauerschmidt, C Gurbuz, S Marburg Proceedings of the 24th International Congress on Acoustics-ICA 2022; 24-28 …, 2022 | | 2022 |
| Physics-Informed Neural Networks as Data-Driven Method in Computational Vibroacoustics JD Schmid, P Bauerschmidt, C Gürbüz, S Marburg Fortschritte der Akustik-DAGA 2022: 48. Jahrestagung für Akustik, 21.-24 …, 2022 | | 2022 |
| Anwendung der verallgemeinerten polynomiellen Chaosentwicklung auf industrielle Modelle JD Schmid, M Luegmair, KK Sepahvand, S Marburg Fortschritte der Akustik-DAGA: 46. Jahrestagung für Akustik, geplant für 16 …, 2020 | | 2020 |
