Téléchargez le livre : Enhancing Hybrid Nanodevice Fabrication Efficiency Using Machine Learning

Enhancing Hybrid Nanodevice Fabrication Efficiency Using Machine Learning



de

, , ,

Éditeur :

Wiley-Scrivener


Paru le : 2026-09-01



eBook Téléchargement , DRM LCP 🛈 DRM Adobe 🛈
Lecture en ligne (streaming)
225,77 €
Téléchargement immédiat
Dès validation de votre commande
Ajouter à ma liste d'envies
Image Louise Reader présentation

Louise Reader

Lisez ce titre sur l'application Louise Reader.

badge apple Application Louise Reader
badge Android Application Louise Reader
Description

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. Case studies and practical examples illustrate real-world applications of machine learning in improving yield, reducing costs, and accelerating time-to-market for hybrid nanodevices. It also addresses the pressing need for a comprehensive guide on machine learning applications in nanodevice fabrication. It provides researchers, engineers, and industry professionals with practical insights for implementing machine learning techniques to tackle challenges such as variability reduction, defect detection, and process optimization. By bridging the gap between theory and practice, the book equips readers with the knowledge and tools necessary to leverage machine learning for a competitive advantage in the semiconductor industry.
Pages
496 pages
Collection
n.c
Parution
2026-09-01
Marque
Wiley-Scrivener
EAN papier
9781394355280
EAN PDF
9781394355303
Informations sur l'ebook
Nombre pages copiables
0
Nombre pages imprimables
496
Taille du fichier
15718 Ko
Ce livre est accessible aux handicaps Voir les informations sur l'accessibilité
Prix
225,77 €
EAN EPUB
9781394355297
Informations sur l'ebook
Nombre pages copiables
0
Nombre pages imprimables
496
Taille du fichier
9288 Ko
Ce livre est accessible aux handicaps Voir les informations sur l'accessibilité
Prix
225,77 €

Suggestions personnalisées