Machine Learning for Fluid Dynamics

This book collects 12 lectures from the recent VKI lecture series "Machine Learning for Fluid Dynamics," jointly organized by VKI and ULB in February 2024.The lecture series explored how modern machine-learning methods can be applied to study and solve challenges in fluid dynamics. In line with the VKI lecture series tradition, it brings together leading experts to cover both foundational concepts and state-of-the-art applications.Starting with the fundamentals of regression and dimensionality reduction, the book progresses to advanced topics such as turbulence modeling, flow control, and digital twin development for a variety of multi-physics applications. It is a valuable resource for students, researchers, and professionals eager to leverage machine learning for enhanced simulations, predictions, and engineering solutions. Read more