Published

Physics-Informed Neural Networks for Modal Wave Field Predictions in 3D Room Acoustics

Summary by preprints.org
The capabilities of Physics-Informed Neural Networks (PINNs) to solve the Helmholtz equation in a simplified three-dimensional room are investigated. From a simulation point of view, it is interesting since room acoustic simulations often lack information from the applied absorbing material in the low-frequency range. This study extends previous findings toward modeling the 3D sound field with PINNs in an excitation case using DeepXDE with the b…
Think freely.Subscribe and get full access to Ground NewsSubscriptions start at $9.99/yearSubscribe

Bias Distribution

  • There is no tracked Bias information for the sources covering this story.
Factuality

To view factuality data please Upgrade to Premium

Ownership

To view ownership data please Upgrade to Vantage

Sources are mostly out of (0)