Artificial Intelligence for Computational Fluid Dynamics

Kamarul Arifin Ahmad · Mohammad Jawaid · Balbir Singh

Sep 2025 · Academic Press

Ebook

540

Pages

Eligible

This book will become available on September 1, 2025. You will not be charged until it is released.

About this ebook

Artificial Intelligence for Computational Fluid Dynamics serves as a comprehensive reference guide, providing up-to-date information on the utilization of high-performance computing and artificial intelligence (AI) in computational fluid dynamics (CFD). It caters to the needs of students and researchers, offering a single, comprehensive document encompassing machine learning, deep learning, neural networking, and their significance within the realm of CFD. The content not only covers the current state of the field but also provides insights into future research directions, emphasizing the importance of ongoing research and development. Additionally, the book introduces various scientific tools and software commonly employed in AI-based CFD applications. The newly amended CFD vision for 2030 receives specific attention, ensuring alignment with the latest advancements and industry trends. The editors and authors of this book are esteemed researchers with extensive experience in both teaching and research, establishing their expertise in the field.• The book 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. • It 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. • An exclusive section is dedicated to the emerging field of quantum computing and its implications in the context of ongoing research, including its potential to replace high-performance computing (HPC) and its overall impact. This section caters to the needs of researchers and students, both presently and in the future, while also aligning with the CFD vision for 2030. • The book 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.

About the author

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.

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.

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