Next-Generation Nuclear Systems AI Integration, Passive Safety, and Advanced Reactor Engineering: A Knowledge-Based Reference for Future Nuclear Energy Solutions - Brossura

Zohuri

Brossura

ISBN 10: 0443491976 ISBN 13: 9780443491979

Casa editrice: Elsevier, 2026

Riassunto

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.

Su questo libro

Informazioni sugli autori

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.

Dalla quarta di copertina

Next-Generation Nuclear Systems AI Integration, Passive Safety, and Advanced Reactor Engineering addresses the urgent need for safe, sustainable, and resilient energy solutions. As global energy demand increases and climate challenges intensify, nuclear power remains a vital pillar, but its future depends on innovative reactor designs, advanced safety systems, and the integration of artificial intelligence for operational optimization. This reference meets the needs of researchers, engineers, and policymakers seeking a unified resource that connects nuclear engineering advances with AI-driven forecasting and grid management. 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. Next-Generation Nuclear Systems AI Integration, Passive Safety, and Advanced Reactor Engineering 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.

Dettagli dell'edizione

• Editore: Elsevier
• Data di pubblicazione: 2026
• Lingua: Inglese
• ISBN 10: 0443491976
• ISBN 13: 9780443491979
• Rilegatura: Copertina flessibile
• Numero edizione: 1
• Numero di pagine: 292
• Contatto del produttore: non disponibile
• Persona responsabile: LSWR Group; b.criscuolo@lswr.it; ; Via Spadolini, 7; Milano; Italia