TY  - BOOK
TI  - Data Driven Analysis and Modeling of Turbulent Flows: Data Driven Analysis and Modeling of Turbulent Flows
SN  - 9780323950435
AV  - TA357 .D38 2025 
U1  - 629.132/32 23/eng/20250213
PB  - Academic Press
KW  - Turbulence
KW  - Mathematical models
KW  - Data Driven Analysis and Modeling of Turbulent Flows
KW  - Statistical methods
N1  - Includes bibliographical references and index
N2  - Data-driven Analysis and Modeling of Turbulent Flows provides an integrated treatment of modern data-driven methods to describe, control, and predict turbulent flows through the lens of both physics and data science.

The book is organized into three parts:
Exploration of techniques for discovering coherent structures within turbulent flows, introducing advanced decomposition methods
Methods for estimation and control using data assimilation and machine learning approaches
Finally, novel modeling techniques that combine physical insights with machine learning
This book is intended for students, researchers, and practitioners in fluid mechanics, though readers from related fields such as applied mathematics, computational science, and machine learning will find it also of interest.
Exploration of techniques for discovering coherent structures within turbulent flows, introducing advanced decomposition methods
Methods for estimation and control using data assimilation and machine learning approaches
Finally, novel modeling techniques that combine physical insights with machine learning
ER  -