A physics-informed neural network reproduces the Runge-Kutta solution of the complex 1D acoustic wave equation in ducts with temperature gradients to about 1e-5 relative error.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.LG 1years
2025 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Prediction of acoustic field in 1-D uniform duct with varying mean flow and temperature using neural networks
A physics-informed neural network reproduces the Runge-Kutta solution of the complex 1D acoustic wave equation in ducts with temperature gradients to about 1e-5 relative error.