Next-Generation High-Speed Electronics and Optoelectronics : Volume 2 (Lecture Notes in Electrical Engineering)

Acharyya, Aritra (EDT)/ Sarkar, Angsuman (EDT)/ Aleksandrova, Mariya (EDT)

Springer Verlag, Singapore（2026/01発売）

• 製本 Hardcover:ハードカバー版／ページ数 498 p.
• 言語 ENG
• 商品コード 9789819544141

Full Description

This book offers an in-depth exploration of the latest advancements in high-speed electronics and optoelectronics, focusing on breakthrough technologies that drive faster data rates, lower power consumption, and improved system performance. Readers gain insights into advanced materials like graphene and black phosphorus, cutting-edge device architectures, and innovative circuit designs for gigahertz (GHz) and terahertz (THz) frequencies. With practical research and real-world applications, this book greatly benefits postgraduate students, academic researchers, and professionals working in telecommunications, photonics, and next-generation electronics systems.

Contents

Introduction to Next-Generation High-Speed Electronics and Optoelectronics (Vol. 2).- Emerging Devices and Materials.- Nanotechnology in Electronic Devices.- Bending Light through Time and Space: A Translational Symmetry Perspective on Entangled Anti-nodal Dynamics.- Translational Symmetry of Intermediate Nodes in Entangled Particles: A New Perspective on Quantum Communication.- Silicon Carbide-Based Triple-Metal GAA MOSFETs: Analytical Insights into Electrical and Analog Performance.- Enhanced Reliability Architecture for VLSI Systems Using IRMC Algorithm for Error Detection and Correction.- Enhanced Non-Line-of-Sight Scattering Channel Modelling for MIMO-Based Underwater Wireless Optical Communication.- A Cryogenically Robust Bandgap Reference with Sub-2 ppm/oC Temperature Coefficient and High PSRR for Space-Grade and Low-Temperature Power Management ICs.- High-Linearity Al0.3Ga0.7N/GaN HEMTs for Spectrum-Efficient Millimetre-wave (m-Wave) IoE Networks.- Design and Analysis of a Photonic Crystal Gas Sensor using Machine Learning Approach.- Hardware-Efficient VLSI Implementation of Self-Attention Transformers for Natural Language Processing.- Brief Overview of Transition Metal Dichalcogenides (TMDs) as an Anode Material for Rechargeable Batteries.- Radiation Response of InAs Quantum Well n-MOSFETs: Role of Geometry and Bias.