Physics-informed neural networks for acoustic boundary admittance estimation

Author:

Schmid Johannes D.ORCID,Bauerschmidt Philipp,Gurbuz Caglar,Eser MartinORCID,Marburg SteffenORCID

Funder

Bundesministerium für Wirtschaft und Klimaschutz

Publisher

Elsevier BV

Reference54 articles.

1. C.-H. Jeong, Design, simulation, and virtual prototyping of room acoustics: Challenges and opportunities, in: Proceedings of the 24th International Congress on Acoustics - ICA 2022; 24-28 October 2022, Gyeongju, Korea, 2022.

2. Room acoustic simulation and virtual reality - technological trends, challenges, and opportunities;Jeong;J. Swed. Acoust. Soc.(Ljudbladet),2022

3. Computer simulations in room acoustics: concepts and uncertainties;Vorländer;J. Acoust. Soc. Am.,2013

4. ISO 354:2003: Acoustics — Measurement of Sound Absorption in a Reverberation Room,2003

5. DIN EN ISO 10534-2: Acoustics - determination of sound absorption coefficient and impedance in impedance tubes - Part 2: Transfer-function method (ISO 10534-2:1998); German version EN ISO 10534-2:2001,2001

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