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Автор: Udit Mamodiya, Suman Lata Tripathi, Deepika Ghai, Deepak Kumar Jain
Издательство: Wiley-Scrivener
Год: 2026
Страниц: 497
Язык: английский
Формат: pdf (true), epub
Размер: 25.9 MB
Gain a competitive edge in the semiconductor industry with this essential guide, which provides the practical insights and Machine Learning techniques needed to optimize the fabrication of hybrid nanodevices for integrated circuits. Enhancing Hybrid Nanodevice Fabrication Efficiency Using Machine Learning explores the intersection of advanced manufacturing techniques and Machine Learning applications in the field of nanotechnology, specifically focusing on hybrid nanodevices for integrated circuits. This book provides a comprehensive understanding of how Machine Learning algorithms and techniques can optimize the fabrication processes of hybrid nanodevices, improving their efficiency, reliability, and performance in integrated circuit applications. The book begins with an introduction to the fundamentals of hybrid nanodevice fabrication and the role of Machine Learning in enhancing these processes. It then delves into various Machine Learning algorithms and models used for process optimization, quality control, and predictive maintenance in integrated circuit fabrication.
