Advances and Applications of Machine Learning in Fluid Flow Problems
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Advances and Applications of Machine Learning in Fluid Flow Problems
El-Amin, Mohamed
Taylor & Francis Ltd
03/2026
290
Dura
Inglês
9781032747392
Pré-lançamento - envio 15 a 20 dias após a sua edição
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Table of Contents
Biography
List of figures
List of tables
Part I Introduction
Chapter 1Overview of Machine Learning
Chapter 2 Challenges, Limitations, and Recommendations
Part II ML for Turbulent Flows
Chapter 3 PIV, CFD and ML for Turbulent Jet
Chapter 4 Turbulent Jets Using Time Series
Chapter 5 Machine Learning for Permeability
Chapter 6 Hybrid Forecasting for Petroleum Reservoir
Chapter 7 PINN for Second-Order Porous Medium
Part IV ML for Hydrogen Energy
Chapter 8 Hydrogen Migration in Porous Media
Chapter 9 Hydrogen Leakage
Part V ML for Wind Energy
Chapter 10 Wind Farm Optimization and ML
Biography
List of figures
List of tables
Part I Introduction
Chapter 1Overview of Machine Learning
Chapter 2 Challenges, Limitations, and Recommendations
Part II ML for Turbulent Flows
Chapter 3 PIV, CFD and ML for Turbulent Jet
Chapter 4 Turbulent Jets Using Time Series
Chapter 5 Machine Learning for Permeability
Chapter 6 Hybrid Forecasting for Petroleum Reservoir
Chapter 7 PINN for Second-Order Porous Medium
Part IV ML for Hydrogen Energy
Chapter 8 Hydrogen Migration in Porous Media
Chapter 9 Hydrogen Leakage
Part V ML for Wind Energy
Chapter 10 Wind Farm Optimization and ML
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
computational fluid dynamics;particle-fluid interactions;permeability modeling;physics-informed neural networks;wind energy optimization;hydrogen storage analysis;data-driven turbulence prediction
Table of Contents
Biography
List of figures
List of tables
Part I Introduction
Chapter 1Overview of Machine Learning
Chapter 2 Challenges, Limitations, and Recommendations
Part II ML for Turbulent Flows
Chapter 3 PIV, CFD and ML for Turbulent Jet
Chapter 4 Turbulent Jets Using Time Series
Chapter 5 Machine Learning for Permeability
Chapter 6 Hybrid Forecasting for Petroleum Reservoir
Chapter 7 PINN for Second-Order Porous Medium
Part IV ML for Hydrogen Energy
Chapter 8 Hydrogen Migration in Porous Media
Chapter 9 Hydrogen Leakage
Part V ML for Wind Energy
Chapter 10 Wind Farm Optimization and ML
Biography
List of figures
List of tables
Part I Introduction
Chapter 1Overview of Machine Learning
Chapter 2 Challenges, Limitations, and Recommendations
Part II ML for Turbulent Flows
Chapter 3 PIV, CFD and ML for Turbulent Jet
Chapter 4 Turbulent Jets Using Time Series
Chapter 5 Machine Learning for Permeability
Chapter 6 Hybrid Forecasting for Petroleum Reservoir
Chapter 7 PINN for Second-Order Porous Medium
Part IV ML for Hydrogen Energy
Chapter 8 Hydrogen Migration in Porous Media
Chapter 9 Hydrogen Leakage
Part V ML for Wind Energy
Chapter 10 Wind Farm Optimization and ML
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
