Author Description

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. 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