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Intelligent Design and Optimization of Nanostructures Using Artificial Intelligence presents a comprehensive exploration of the transformative role of artificial intelligence in nanoscience and nanotechnology. The book examines how advanced AI techniques, including machine learning, deep learning, evolutionary algorithms, and reinforcement learning, are revolutionizing the design, modeling, optimization, and performance prediction of nanostructured materials. It discusses data-driven approaches for accelerating material discovery, improving computational efficiency, and enabling the development of high-performance nanomaterials for applications in energy, electronics, healthcare, environmental engineering, catalysis, and advanced manufacturing. The text bridges the gap between computational intelligence and nanoscale engineering by integrating theoretical foundations with practical methodologies and real-world case studies. Intended for researchers, graduate students, engineers, professionals, this book offers valuable insights into the future of intelligent nanomaterial development, demonstrating how AI-driven innovation is reshaping the next generation of nanoscale technology.