Advanced Indium Arsenide Based Hemt Architectures For Terahertz Applications
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Advanced Indium Arsenide-Based HEMT Architectures for Terahertz Applications
High electron mobility transistor (HEMT) has better performance potential than the conventional MOSFETs. Further, InAs is a perfect candidate for the HEMT device architecture owing to its peak electron mobility. Advanced Indium Arsenide-based HEMT Architectures for Terahertz Applications characterizes the HEMT based on InAs III-V material to achieve outstanding current and frequency performance. This book explains different types of device architectures available to enhance performance including InAs-based single gate (SG) HEMT and double gate (DG) HEMT. The noise analysis of InAs-based SG and DG-HEMT is also discussed. The main goal of this book is to characterize the InAs device to achieve terahertz frequency regime with proper device parameters. Features: Explains the influence of InAs material in the performance of HEMTs and MOS-HEMTs. Covers novel indium arsenide architectures for achieving terahertz frequencies Discusses impact of device parameters on frequency response Illustrates noise characterization of optimized indium arsenide HEMTs Introduces terahertz electronics including sources for terahertz applications. This book is of special interest to researchers and graduate students in Electronics Engineering, High Electron Mobility Transistors, Semi-conductors, Communications, and Nanodevices.
Advanced Indium Arsenide-Based HEMT Architectures for Terahertz Applications
High electron mobility transistor (HEMT) has better performance potential than the conventional MOSFETs. Further, InAs is a perfect candidate for the HEMT device architecture owing to its peak electron mobility. Advanced Indium Arsenide-based HEMT Architectures for Terahertz Applications characterizes the HEMT based on InAs III-V material to achieve outstanding current and frequency performance. This book explains different types of device architectures available to enhance performance including InAs-based single gate (SG) HEMT and double gate (DG) HEMT. The noise analysis of InAs-based SG and DG-HEMT is also discussed. The main goal of this book is to characterize the InAs device to achieve terahertz frequency regime with proper device parameters. Features: Explains the influence of InAs material in the performance of HEMTs and MOS-HEMTs. Covers novel indium arsenide architectures for achieving terahertz frequencies Discusses impact of device parameters on frequency response Illustrates noise characterization of optimized indium arsenide HEMTs Introduces terahertz electronics including sources for terahertz applications. This book is of special interest to researchers and graduate students in Electronics Engineering, High Electron Mobility Transistors, Semi-conductors, Communications, and Nanodevices.
Deep Learning for Targeted Treatments
Author: Rishabha Malviya
language: en
Publisher: John Wiley & Sons
Release Date: 2022-10-11
DEEP LEARNING FOR TREATMENTS The book provides the direction for future research in deep learning in terms of its role in targeted treatment, biological systems, site-specific drug delivery, risk assessment in therapy, etc. Deep Learning for Targeted Treatments describes the importance of the deep learning framework for patient care, disease imaging/detection, and health management. Since deep learning can and does play a major role in a patient’s healthcare management by controlling drug delivery to targeted tissues or organs, the main focus of the book is to leverage the various prospects of the DL framework for targeted therapy of various diseases. In terms of its industrial significance, this general-purpose automatic learning procedure is being widely implemented in pharmaceutical healthcare. Audience The book will be immensely interesting and useful to researchers and those working in the areas of clinical research, disease management, pharmaceuticals, R&D formulation, deep learning analytics, remote healthcare management, healthcare analytics, and deep learning in the healthcare industry.