Artificial Intelligence for Computational Fluid Dynamics
- 1st Edition - December 1, 2025
- Imprint: Academic Press
- Editors: Kamarul Arifin Ahmad, Mohammad Jawaid, Balbir Singh
- Language: English
- Paperback ISBN:9 7 8 - 0 - 4 4 3 - 2 9 1 1 8 - 0
- eBook ISBN:9 7 8 - 0 - 4 4 3 - 2 9 1 1 9 - 7
Artificial Intelligence for Computational Fluid Dynamics offers a groundbreaking exploration of how high-performance computing and artificial intelligence (AI) revolutionize comput… Read more
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Artificial Intelligence for Computational Fluid Dynamics offers a groundbreaking exploration of how high-performance computing and artificial intelligence (AI) revolutionize computational fluid dynamics (CFD). Designed for students and researchers alike, this book consolidates information on machine learning, deep learning, and neural networking, demonstrating their transformative potential in CFD. With an emphasis on both the current state of the field and future possibilities, the text serves as a vital resource for anyone looking to understand and leverage AI in fluid dynamics. This work not only educates but also inspires innovation within a rapidly evolving scientific landscape.
The book delves into future research directions, aligning with the newly amended CFD vision for 2030, and underscores the importance of continued development. It introduces scientific tools and software integral to AI-driven CFD applications, ensuring that readers gain practical knowledge alongside theoretical insights. Authored by renowned experts with extensive teaching and research experience, this work stands at the intersection of cutting-edge technology and academic rigor, making it an indispensable reference for anyone in the field.
The book delves into future research directions, aligning with the newly amended CFD vision for 2030, and underscores the importance of continued development. It introduces scientific tools and software integral to AI-driven CFD applications, ensuring that readers gain practical knowledge alongside theoretical insights. Authored by renowned experts with extensive teaching and research experience, this work stands at the intersection of cutting-edge technology and academic rigor, making it an indispensable reference for anyone in the field.
- Encompasses a wide range of examples, pictures, and experimental works from historical and contemporary AI research, incorporating computational fluid dynamics (CFD) in almost all its forms
- Serves as a comprehensive guide that explores the utilization of modern AI techniques and fluid dynamics computing methods, offering practical applications for researchers and students, both present and future
- Includes updates on the emerging field of quantum computing and its implications in the context of ongoing research, presenting its potential to replace high-performance computing (HPC) and its overall impact
- Fills a unique gap in the market as there has never been a publication specifically dedicated to the fusion of AI and computational fluid dynamics
Advanced academics (graduate students, post-docs, staff, and faculty)
1. Artificial Intelligence and Computational Fluid Dynamics: Background
2. Introduction to artificial intelligence and subsets
3. Artificial intelligence based computational fluid dynamics approaches
4. Enhanced reduced order modeling and accelerated direct numerical simulation
5. Machine learning/ Deep Learning architectures and Computational Fluid Dynamics
6. Turbulence Closure Modeling using Deep Learning
7. DNNs – CNNs/RNNs/PINNs/cPINNs/xPINNs
8. ANN as popular AI tool for CFD
9. Support Vector Machine (SVM) an important Supervised Learning Category
10. Current AI algorithms in CFD and implementation
11. AI for accelerated CFD and fluid flow optimization
12. Dynamic Model Decomposition of complex Fluid Flow Analysis using Machine Learning
13. Machine learning based optimal mesh generation and optimization
14. Machine learning based New sparse algorithms
15. Commercial and open source models/codes used in industry for AI and CFD
16. Modern tools, languages and systems available for implementing AI algorithms.
17. Aerodynamic Modeling in CFD using AI
18. Application of AI for Turbulence Modeling
19. Application of AI in CFD for Boundary layer and Multiphase Flows
20. AI in Heat and Mass Transfer using CFD
21. AI for CFD in materials industry and other applications
22. Operating challenges for AI in CFD and the available solutions
23. AI, CFD and CFD Vision 2030
23. Conclusion Remarks
2. Introduction to artificial intelligence and subsets
3. Artificial intelligence based computational fluid dynamics approaches
4. Enhanced reduced order modeling and accelerated direct numerical simulation
5. Machine learning/ Deep Learning architectures and Computational Fluid Dynamics
6. Turbulence Closure Modeling using Deep Learning
7. DNNs – CNNs/RNNs/PINNs/cPINNs/xPINNs
8. ANN as popular AI tool for CFD
9. Support Vector Machine (SVM) an important Supervised Learning Category
10. Current AI algorithms in CFD and implementation
11. AI for accelerated CFD and fluid flow optimization
12. Dynamic Model Decomposition of complex Fluid Flow Analysis using Machine Learning
13. Machine learning based optimal mesh generation and optimization
14. Machine learning based New sparse algorithms
15. Commercial and open source models/codes used in industry for AI and CFD
16. Modern tools, languages and systems available for implementing AI algorithms.
17. Aerodynamic Modeling in CFD using AI
18. Application of AI for Turbulence Modeling
19. Application of AI in CFD for Boundary layer and Multiphase Flows
20. AI in Heat and Mass Transfer using CFD
21. AI for CFD in materials industry and other applications
22. Operating challenges for AI in CFD and the available solutions
23. AI, CFD and CFD Vision 2030
23. Conclusion Remarks
- Edition: 1
- Published: December 1, 2025
- Imprint: Academic Press
- Language: English
KA
Kamarul Arifin Ahmad
Dr. Kamarul specializes in bio-inspired flight, advanced aerospace materials, computational and experimental aerodynamics, computational biomedics, machine learning in CFD, and launch vehicle dynamics. With a strong dedication to research over the past 15 years, he has authored or co-authored over 100 journals and conference proceedings. These publications cover diverse fields, including fluid dynamics, heat transfer, and bio-medical engineering. His works encompass articles in national and international journals (100 papers - Scopus), conference papers (53 papers), authored books (2), and edited books (2).
Dr. Kamarul's contributions have received significant recognition, evident through his impressive indexed citations (700) and h-index (16). He actively contributes to the scientific community as an editorial board member for renowned journals like ASEAN Engineering Journal and Aircraft and Spacecraft Journal. Additionally, he serves as a reviewer for various reputable journals. His mentorship has also led to successful supervision of doctoral and master's students.
In terms of research grants, Dr. Kamarul has completed more than 8 projects, totaling RM 2 million in funding. These grants have facilitated his research endeavors and advancements in the field.
Affiliations and expertise
Professor, Department of Aerospace Engineering, Faculty of Engineering and Director, Putra Science Park, University of Putra Malaysia, MalaysiaMJ
Mohammad Jawaid
Dr. Mohammad Jawaid is currently affiliated with the Department of Chemical and Petroleum Engineering at United Arab Emirates University. Previously he was a senior fellow (professor) in the Laboratory of Biocomposites Technology at the Institute of Tropical Forestry and Forest Products (INTROP), Universiti Putra Malaysia. He is an eminent scientist with more than twenty years of teaching, and research experience in composite materials. His research interests include hybrid reinforced/filled polymer composites, and advanced materials such as graphene/
nanoclay/fire retardant, lignocellulosic reinforced/filled polymer composites, and the modification and treatment of lignocellulosic fibres and solid wood, and nanocomposites and nanocellulose fibres.
Affiliations and expertise
Department of Chemical and Petroleum Engineering, College of Engineering, United Arab Emirates University, Al Ain, United Arab EmiratesBS
Balbir Singh
He is currently an aerospace researcher in the Department of Aerospace Engineering, Faculty of Engineering. Universiti Putra Malaysia. He has good number of publications and research grants in his favour. His research focus on insect inspired miniaturized robots for planetary studies, advanced aerospace materials (bio, natural or Nano) at all the scales, CFD, high performance computing and modelling, unsteady aerodynamics, space debris removal and space systems engineering.
Affiliations and expertise
Aerospace Researcher, Department of Aeronautical and Automobile Engineering, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal, India