Convolutional causal learning for aerodynamic flows

Ryo Koshikawa, Ryo Araki, Qiong Liu +1

This study aims to capture aerodynamic causality from snapshot data with a time-varying mode decomposition technique referred to as information-theoretic machine learning. The curr…