Machine Learning in Viscoelastic Fluids via Energy-Based Kernel
Embedding
Machine Learning in Viscoelastic Fluids via Energy-Based Kernel
Embedding
The ability to measure differences in collected data is of fundamental importance for quantitative science and machine learning, motivating the establishment of metrics grounded in physical principles. In this study, we focus on the development of such metrics for viscoelastic fluid flows governed by a large class of linear and …