Schmid, Jonas M.;Eser, Martin;Marburg, Steffen
Bayesian approach for acoustic boundary admittance estimation
7th Conference on Noise and Vibration: Emerging Methods (NOVEM 2023)
Institute of Noise Control Engineering (INCE)
2023

Gurbuz, Caglar;Eser, Martin;Schaffner, Johannes;Marburg, Steffen
Multi-fidelity modeling using Gaussian processes for the frequency dependent Helmholtz equation
7th Conference on Noise and Vibration: Emerging Methods (NOVEM 2023)
Institute of Noise Control Engineering (INCE)
2023

Eser, Martin;Emmerich, Leon;Gurbuz, Caglar;Marburg, Steffen
A neural network-augmented two-microphone impedance tube method to estimate sound propagation characteristics
7th Conference on Noise and Vibration: Emerging Methods (NOVEM 2023)
Institute of Noise Control Engineering (INCE)
2023

Bettina Chocholaty, Nicolaas B. Roozen, Marcus Maeder;Marburg, Steffen
Linear vs nonlinear structural vibration behavior of steel-timber composite building elements
7th Conference on Noise and Vibration Emerging Methods (NOVEM 2023), Jan 10-12, Auckland, New Zealand
2023

Preuss, Simone; Marin, Joachim; Jelich, Christopher; Marburg, Steffen
A fast multipole boundary element method for acoustics in viscothermal fluids
326--329
7th Conference on NOise and Vibration Emerging Methods (NOVEM 2023), Jan 10-12, Auckland, New Zealand
INTER-NOISE and NOISE-CON Congress and Conference Proceedings
Institute of Noise Control Engineering (INCE)
2023

Chocholaty, Bettina;Eser, Martin;Hoppe, Karl-Alexander;Wang, Daotong;Marburg, Steffen
Vibration response of a hybrid steel–timber building element with uncertain material and joint parameters
Archives of Civil and Mechanical Engineering
2023
24
1

Schmid, J. D.;Bauerschmidt, P.;Gurbuz, C.;Marburg, S.
Physics-informed neural networks for characterization of structural dynamic boundary conditions
The Journal of the Acoustical Society of America
2023
154
4_supplement
A99-A99

Schmid, J. D.;Bauerschmidt, P.;Gurbuz, C.;Marburg, S.
Physics-informed neural networks for solving the Helmholtz equation
INTER-NOISE and NOISE-CON Congress and Conference Proceedings
2023
267
1
265--268

Schmid, J. D.; Bauerschmidt, P.; Gurbuz, C.;Marburg, S.
Bestimmung akustischer Randadmittanzen mittels physikalisch informierter neuronaler Netze
Fortschritte der Akustik - DAGA 2023, 49. Jahrestagung für Akustik, 06.-09. März 2023, Hamburg
https://pub.dega-akustik.de/DAGA_2023
Deutsche Gesellschaft für Akustik e.V. (DEGA)
2023

Cram, Sophie;Yu, Jiale;Luegmair, Marinus;Maeder, Marcus;Marburg, Steffen
Parameter Identification of a Large-scale Vibroacoustic Finite Element Model with a One-dimensional Convolutional Neural Network
Journal of Theoretical and Computational Acoustics
2023