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Plasma Physics and Controlled Fusion in Python
Dive into the cutting-edge world of plasma physics and controlled fusion with this comprehensive guide tailored for researchers, engineers, and advanced students. This book meticulously bridges the gap between theoretical foundations and practical applications, utilizing the powerful capabilities of Python to model, simulate, and solve complex plasma phenomena.
Explore in-depth discussions on essential topics such as single particle motion, kinetic theory, fluid models, and magnetohydrodynamics. Delve into advanced areas including wave-particle interactions, magnetic confinement, equilibrium and stability analysis, and alpha particle heating. Each chapter is meticulously crafted to present key equations and detailed computational recipes, providing step-by-step Python implementations to bring theoretical concepts to life.
Gain practical insights into fusion reactor engineering, including plasma-material interactions, heat and particle transport, divertor design, and magnetic field control. Discover advanced tokamak and stellarator scenarios, tritium breeding, and blanket design, along with state-of-the-art plasma diagnostics techniques.
Harness the power of numerical methods, Monte Carlo simulations, and spectral analysis, and exploit the potential of parallel computing and machine learning in your plasma research. Through exhaustive case studies and advanced projects, this book presents real-world applications and integrated modeling techniques, preparing you to tackle the most challenging problems in contemporary fusion research.
Essential for anyone engaged in the pursuit of fusion energy, this book provides the tools, knowledge, and computational techniques necessary to advance the field, drawing from the latest research and technological advancements. Embark on a journey to unlock the future of clean, limitless energy, grounded in rigorous scientific analysis and cutting-edge programming.
Explore in-depth discussions on essential topics such as single particle motion, kinetic theory, fluid models, and magnetohydrodynamics. Delve into advanced areas including wave-particle interactions, magnetic confinement, equilibrium and stability analysis, and alpha particle heating. Each chapter is meticulously crafted to present key equations and detailed computational recipes, providing step-by-step Python implementations to bring theoretical concepts to life.
Gain practical insights into fusion reactor engineering, including plasma-material interactions, heat and particle transport, divertor design, and magnetic field control. Discover advanced tokamak and stellarator scenarios, tritium breeding, and blanket design, along with state-of-the-art plasma diagnostics techniques.
Harness the power of numerical methods, Monte Carlo simulations, and spectral analysis, and exploit the potential of parallel computing and machine learning in your plasma research. Through exhaustive case studies and advanced projects, this book presents real-world applications and integrated modeling techniques, preparing you to tackle the most challenging problems in contemporary fusion research.
Essential for anyone engaged in the pursuit of fusion energy, this book provides the tools, knowledge, and computational techniques necessary to advance the field, drawing from the latest research and technological advancements. Embark on a journey to unlock the future of clean, limitless energy, grounded in rigorous scientific analysis and cutting-edge programming.
155 pages, Kindle Edition
Published June 23, 2024
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