Physics-informed neural networks for one-dimensional sound field predictions with parameterized sources and impedance boundaries

23 September 2021

Papers citing "Physics-informed neural networks for one-dimensional sound field predictions with parameterized sources and impedance boundaries"

8 / 8 papers shown

Title
Estimation of the Acoustic Field in a Uniform Duct with Mean Flow using Neural Networks D. Veerababu Prasanta K. Ghosh AI4CE 42 0 0 25 Mar 2025
Point Neuron Learning: A New Physics-Informed Neural Network Architecture Hanwen Bi T. Abhayapala PINN 21 3 0 30 Aug 2024
Continual Learning of Range-Dependent Transmission Loss for Underwater Acoustic using Conditional Convolutional Neural Net Indu Kant Deo Akash Venkateshwaran R. Jaiman AI4CE 33 3 0 11 Apr 2024
Physics-informed neural network for acoustic resonance analysis in a one-dimensional acoustic tube Kazuya Yokota Takahiko Kurahashi Masajiro Abe 16 5 0 18 Oct 2023
Sound propagation in realistic interactive 3D scenes with parameterized sources using deep neural operators N. Borrel-Jensen S. Goswami A. Engsig-Karup George Karniadakis C. Jeong AI4CE 31 16 0 09 Aug 2023
A convolutional plane wave model for sound field reconstruction Manuel Hahmann Efren Fernandez-Grande 23 6 0 24 Aug 2022
Data-aided Underwater Acoustic Ray Propagation Modeling Kexin Li M. Chitre 22 12 0 12 May 2022
Parallel Physics-Informed Neural Networks via Domain Decomposition K. Shukla Ameya Dilip Jagtap George Karniadakis PINN 101 274 0 20 Apr 2021