Domain-decomposition physics-informed neural network approach for the acoustic boundary impedance estimation of a combustion chamber model
Journal of Vibration and Control
Published online on March 16, 2026
Abstract
Journal of Vibration and Control, Ahead of Print.
Acoustic simulations of combustion chambers often exhibit significant uncertainties owing to our limited understanding of impedance boundary conditions. Traditional impedance inversion methods based on optimization or sampling often produce substantial ...
Acoustic simulations of combustion chambers often exhibit significant uncertainties owing to our limited understanding of impedance boundary conditions. Traditional impedance inversion methods based on optimization or sampling often produce substantial ...