• Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Advances and Applications of Machine Learning in Fluid Flow Problems

Advances and Applications of Machine Learning in Fluid Flow Problems

Hardcover

Series: Advances in Digital Technologies for Smart Applications

General ComputersPhysics

ISBN10: 1032747390
ISBN13: 9781032747392
Publisher: CRC Press
Published: Mar 31 2026
Pages: 290
Weight: 1.38
Height: 0.75 Width: 6.14 Depth: 9.21
Language: English

The rapid growth of machine learning in recent years has made it a popular tool for data analysis, modeling, and predictions. As more data is generated from fluid flow simulations and experiments, the use of machine learning algorithms has become essential in making sense of it all. Advances and Applications of Machine Learning in Fluid Flow Problems provides insight into the effective use of machine learning in fluid flow and its potential impact on the field. It examines the application of machine learning techniques in various fluid flow problems, including but not limited to turbulent flow, multiphase flow, complex geometries, flow control, turbulence modeling, particle-fluid interactions, numerical simulations, data-driven modeling, flow in porous media, oil/gas reservoir simulation, permeability prediction, and more. It serves as a useful tool for a wide range of readers in the professional, industrial, and academic sectors.

Also from

El-Amin, Mohamed

Also in

Physics