Introduction to Electronic Devices

Author:   Corrado Di Natale
Publisher:   Springer International Publishing AG
Edition:   1st ed. 2023
ISBN:  

9783031271953


Pages:   290
Publication Date:   18 May 2023
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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Introduction to Electronic Devices


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Overview

T​his 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.

Full Product Details

Author:   Corrado Di Natale
Publisher:   Springer International Publishing AG
Imprint:   Springer International Publishing AG
Edition:   1st ed. 2023
Weight:   0.555kg
ISBN:  

9783031271953


ISBN 10:   3031271955
Pages:   290
Publication Date:   18 May 2023
Audience:   College/higher education ,  Undergraduate
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

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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.

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