Kamarul Arifin Ahmad – författare

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 formsServes 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 futureIncludes 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 impactFills a unique gap in the market as there has never been a publication specifically dedicated to the fusion of AI and computational fluid dynamics

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 of AI and computational fluid dynamics

This book gives a complete overview of current developments in the implementation of high performance computing (HPC) in various biomimetic technologies. The book presents various topics that are subdivided into the following parts: A) biomimetic models and mechanics; B) locomotion and computational methods; C) distributed computing and its evolution; D) distributed and parallel computing architecture; E) high performance computing and biomimetics; F) big data, management, and visualization; and G) future of high performance computing in biomimetics. This book presents diverse computational technologies to model and replicate biologically inspired design for the purpose of solving complex human problems. The content of this book is presented in a simple and lucid style which can also be used by professionals, non-professionals, scientists, and students who are interested in the research area of high performance computing applications in the development of biomimetics technologies.

This book gives a complete overview of current developments in the implementation of high performance computing (HPC) in various biomimetic technologies.

This book provides a general overview of different classes of nanomaterials, which includes the synthesis, fabrication, characterization, properties and technological applications of these materials. The book covers 4 main types of nanomaterials, namely: A) soft nanomaterials, B) biological nanomaterials, C) composite nanomaterials and D) green nanomaterials, where for each nanomaterials, a complete guide to material synthesis, characterization, their unique properties (as compared to a conventional bulk material) and potential technological applications is presented. One of the book's most notable characteristics is the inclusion of a section, a special focus on the future of nanomaterials for next-generation technology in electronic, power and energy devices. The content of this book is presented in a simple and lucid style which can also be used by professionals, scientists and students who are interested in the general research area of nanomaterials technology.

This book provides a general overview of different classes of nanomaterials, which includes the synthesis, fabrication, characterization, properties and technological applications of these materials. The book covers 4 main types of nanomaterials, namely: A) soft nanomaterials, B) biological nanomaterials, C) composite nanomaterials and D) green nanomaterials, where for each nanomaterials, a complete guide to material synthesis, characterization, their unique properties (as compared to a conventional bulk material) and potential technological applications is presented. One of the book''s most notable characteristics is the inclusion of a section, a special focus on the future of nanomaterials for next-generation technology in electronic, power and energy devices. The content of this book is presented in a simple and lucid style which can also be used by professionals, scientists and students who are interested in the general research area of nanomaterials technology.