Ruixuan Ren

A-PeARCNN: a Physics-encoded AutoRegressive Convolutional Neural Network with AttentionNet for Solving Partial Differential Equations

Recently, the Physics-encoded Recurrent Convolutional Neural Network (PeRCNN) has garnered significant attention for solving partial differential equations (PDEs) using deep learning methods. It acts as a discrete learning model to force encoding a given physical structure in a recurrent convolution…