Fig. 3: Comparison of aerodynamics and acoustics quantities between the PINN prediction and FSI simulation (ground truth) in the canine larynx.
From: Predicting 3D soft tissue dynamics from 2D imaging using physics informed neural networks
a Glottal flow rate waveform over one vibration cycle. b Intraglottal pressure at three time instants within a cycle. c Relative amplitude (RM) of key quantities with errors.
