Yan Zhang

Capturing unsteady nonlinear fluid dynamics using physics-informed convolutional leaky-integrator recurrent network

A physics-informed convolutional leaky-integrator recurrent network for capturing time-dependent flow fields by combining local convolutions with learnable leaky memory provides a compact recurrent time-marching model with fewer parameters than multi-gate recurrent architectures.