Emerging Devices for Low-Power and High-Performance Nanosystems (eBook, PDF)

Physics, Novel Functions, and Data Processing
Redaktion: Deleonibus, Simon

• Format: PDF

Produktbeschreibung

This book reviews the capabilities of integrated nanosystems to match low power and high performance either by hybrid and heterogeneous CMOS in 2D/3D or by emerging devices for alternative sensing, actuating, data storage, and processing.

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Produktdetails

• Verlag: Taylor & Francis eBooks
• Seitenzahl: 438
• Erscheinungstermin: 13. Dezember 2018
• Englisch
• ISBN-13: 9780429858628
• Artikelnr.: 54792965

Autorenporträt

Simon Deleonibus retired from Leti, a technology research institute at the French Alternative Energies and Atomic Energy Commission (CEA) on January 1, 2016, as chief scientist after 30 years of research on the architecture of micronanoelectronic devices. Before joining CEA-Leti, he was with Thomson Semiconductors (1981-1986), where he developed and transferred to production advanced microelectronic devices and products. He gained his PhD in applied physics from Paris University in 1982. He is a visiting professor at Tokyo Institute of Technology (Tokyo, Japan) since 2014, National Chiao Tung University (Hsinchu, Taiwan) since 2015, and Chinese Academy of Science (Beijing, PRC) since 2016.

Inhaltsangabe

Introduction: Cramming More Functions in an Integrated System for a
Sustainable Information Technology World Part 1: Hybrid and Heterogeneous
CMOS for Ultralow-Power Data Processing 1. The Junctionless Transistor 2.
Several Challenges in Steep-Slope Tunnel Field-Effect Transistors 3.
Nanoelectromechanical Switches 4. Adiabatic Solutions for Ultralow-Power
Electronics Part 2: Revised Actuation, Sensing, and Data Storage Modes in
Emerging Devices for Alternative Computing 5. Control of Single Spin in
CMOS Devices and Its Application for Quantum Bits 6. Physically Defined
Coupled Silicon Quantum Dots Containing Few Electrons for Electron Spin
Qubits 7. Oxide Memristor and Applications 8. Resistive Memories for
Spike-Based Neuromorphic Circuits 9. Nanomagnet Logic: Routes to Enhanced
Dot-Dot Coupling