Data Driven Analysis and Modeling of Turbulent Flows (Computation and Analysis of Turbulent Flows) - Softcover

 
9780323950435: Data Driven Analysis and Modeling of Turbulent Flows (Computation and Analysis of Turbulent Flows)
Softcover
ISBN 10: 0323950434 ISBN 13: 9780323950435
Verlag: Academic Press, 2025

Inhaltsangabe

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.

Die Inhaltsangabe kann sich auf eine andere Ausgabe dieses Titels beziehen.

Über die Autorin bzw. den Autor

Karthik Duraisamy is a professor of Aerospace Engineering and the director of the Michigan Institute for Computational Discovery at the University of Michigan, Ann Arbor, USA. His research interests are in data-driven and reduced order modeling, statistical inference, numerical methods, and Generative AI with application to fluid flows. He is also the founder and Chief Scientist of the Silicon Valley startup Geminus.AI which is focused on physics informed AI for industrial decision-making.

Von der hinteren Coverseite

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.

„Über diesen Titel“ kann sich auf eine andere Ausgabe dieses Titels beziehen.

Verlag
Academic Press
Erscheinungsdatum
2025
Sprache
Englisch
ISBN 10 
0323950434
ISBN 13 
9780323950435
Einband
Taschenbuch
Auflage
1
Anzahl der Seiten
414
Herausgeber
Duraisamy
Kontakt zum Hersteller
Academic Press
https://shop.elsevier.com/

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