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