Feature identification in complex fluid flows by convolutional neural networks

Recent advancements have established machine learning’s utility in predicting nonlinear fluid dynamics, with predictive accuracy being a central motivation for employing neural networks. However, the pattern recognition central to the networks function is equally valuable for enhancing our dynamical...

Full description

Bibliographic Details
Main Authors: Shizheng Wen, Michael W. Lee, Kai M. Kruger Bastos, Ian K. Eldridge-Allegra, Earl H. Dowell
Format: Article
Language:English
Published: Elsevier 2023-11-01
Series:Theoretical and Applied Mechanics Letters
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2095034923000533