Introduction to Electronic Devices

1. Auflage 2023
ISBN: 978-3-031-27195-3
Verlag: Springer Nature Switzerland

Buch, Englisch, 290 Seiten, Paperback, Format (B × H): 155 mm x 235 mm, Gewicht: 519 g

This textbook offers a comprehensive introduction to the basic principles ruling the working mechanism of the most common solid-state electronic devices. It covers the physics of semiconductors and the properties of junctions of semiconductors with semiconductors, metals, and insulators. The exposition makes a minimal use of quantum mechanics concepts and methods. On the other hand, it avoids the pure phenomenological description of the properties of electronic devices. Thus, using a semi-classical approach the book provides a rigorous treatment of the subject. The book is addressed to undergraduate students of scientific and technological faculties as well to professionals who wish to be introduced to the basic principles of electronic devices.

Zielgruppe

Upper undergraduate

Autoren/Hrsg.

Di Natale, Corrado

Fachgebiete

• Technische Wissenschaften Elektronik | Nachrichtentechnik Elektronik Bauelemente, Schaltkreise
• Naturwissenschaften Physik Elektromagnetismus Halbleiter- und Supraleiterphysik

Inhaltsverzeichnis

The Physical Background.- The Metal-Semiconductor junction.- Generation and Recombination processes.- PN Junction.- Negative Differential Resistance Effects.- Bipolar Junction Transistor.- Heterojunctions.- Metal-Oxide-Semiconductor junction.- Field Effect Transistors.

Über Autor(innen)

Corrado Di Natale is professor of Electronics at the Department of Electronic Engineering of the University of Rome Tor Vergata, Italy. He teaches courses on “electronic devices and sensors” and “chemical sensors and biosensors” and he is the director of the PhD program in Electronics and director of the Interdepartmental Centre for Volatolomics “A. D’Amico". His research activity has been concerned with the development and application of chemical and bio-sensors, artificial sensorial systems (olfaction and taste) and their applications for human volatolome detection, the optical and electronic properties of organic and molecular material, and the application of machine learning to sensors data.