Next-Generation Nuclear Systems AI Integration, Passive Safety, and Advanced Reactor Engineering

A Knowledge-Based Reference for Future Nuclear Energy Solutions

Häftad, Engelska, 2026

1 934 kr

Kommande

Beskrivning

Next-Generation Nuclear Systems AI Integration, Passive Safety, and Advanced Reactor Engineering: A Knowledge-Based Reference for Future Nuclear Energy Solutions addresses the urgent need for safe, sustainable, and resilient energy solutions. The book systematically covers next-generation reactor concepts, passive safety technologies, electromagnetic pump design, and advanced cooling and energy conversion cycles. It explores the transformative role of AI in predictive maintenance, cybersecurity, and smart grid operations, offering practical insights and case studies that bridge the gap between technical theory and real-world application. Each chapter follows a consistent structure, presenting foundational principles, design methodologies, and applications relevant to current and future energy systems.

The book empowers its audience to analyze, design, and implement innovative nuclear and AI solutions. By consolidating knowledge across disciplines, it equips professionals and academics with the tools to address critical energy and environmental challenges.

Presents advanced Generation IV reactor and small modular reactor technologies
Explains AI-driven forecasting, cybersecurity, and smart grid resilience
Integrates passive safety systems and electromagnetic pump design
Provides practical case studies and conceptual designs
Bridges nuclear engineering and AI for holistic energy solutions

Produktinformation

Utgivningsdatum:2026-06-01
Mått:191 x 235 x undefined mm
Format:Häftad
Språk:Engelska
Antal sidor:250
Förlag:Elsevier Science
ISBN:9780443491979

Utforska kategorier

Energiteknik inom Naturvetenskap och teknik

Mer om författaren

Prof. Bahman Zohuri is an accomplished scientist, engineer, and academic with deep expertise in nuclear engineering, thermodynamics, and applied physics. He serves as an Adjunct Professor at Golden Gate University, where he teaches courses in artificial intelligence and machine learning. Prof. Zohuri holds degrees in Applied Mathematics, Physics, Mechanical Engineering, and Nuclear Engineering from institutions including the University of Illinois and the University of New Mexico. Early in his career, he contributed to advanced research projects at Westinghouse, and later in defense and semiconductor industries, before founding Galaxy Advanced Engineering, Inc. in 1991. Over his career, Prof. Zohuri has authored dozens of technical books and published over a hundred journal articles. He continues to pursue research in fields such as heat transfer, reactor design, computational methods, data mining, and AI-driven engineering solutions. Dr. Mehdi Abedi-Varaki is a senior researcher based at the Center for Physical Sciences and Technology (CPST), Vilnius, specializing in plasma physics, laser‐matter interaction, and computational modelling. He holds a PhD, and has been active in various international and interdisciplinary research projects. His work includes studies on laser wakefield acceleration (LWFA), terahertz radiation generation, and kinetic modeling in plasma environments. Dr. Abedi-Varaki has published over forty papers in peer-reviewed journals and has developed expertise with simulation tools and theoretical methods for non-linear interactions in high-intensity laser beams and magnetized plasmas. He also collaborates internationally and contributes to both foundational and application‐oriented research, such as plasma reactor technologies and advanced laser systems.

Innehållsförteckning

1. Next Generation Nuclear Plant (NGNP)2. Artificial Intelligence Driven Nuclear Applications3. Energy Forecasting with Artificial Intelligence Demanding Secured Smart Grid4. Electromagnetic Pump for Large Pool Liquid Metal Fast Breeder Reactor Concept5. Preliminary Research Approach, Design, and Methodology Driven EM Pump6. Nuclear Power Reactors Driven Radiation Harden Environments7. Heat Pipe Application Driven Fission Nuclear Power Plant8. Nuclear Air-Brayton Combined Cycle (NACC)9. Direct Reactor Auxiliary Cooling Systems (DRACS) and Decay Heat Removal10. A Practical Example for Heat Pipe Design Driven by Artificial Intelligence