Charge Transport in Low Dimensional Semiconductor Structures - The Maximum Entropy Approach (Hardcover, 1st ed. 2020)

This book offers, from both a theoretical and a computational perspective, an analysis of macroscopic mathematical models for description of charge transport in electronic devices, in particular in the presence of confining effects, such as in the double gate MOSFET. The models are derived from the semiclassical Boltzmann equation by means of the moment method and are closed by resorting to the maximum entropy principle. In the case of confinement, electrons are treated as waves in the confining direction by solving a one-dimensional Schroedinger equation obtaining subbands, while the longitudinal transport of subband electrons is described semiclassically. Limiting energy-transport and drift-diffusion models are also obtained by using suitable scaling procedures. An entire chapter in the book is dedicated to a promising new material like graphene. The models appear to be sound and sufficiently accurate for systematic use in computer-aided design simulators for complex electron devices. The book is addressed to applied mathematicians, physicists, and electronic engineers. It is written for graduate or PhD readers but the opening chapter contains a modicum of semiconductor physics, making it self-consistent and useful also for undergraduate students.

General

Imprint:	Springer Nature Switzerland AG
Country of origin:	Switzerland
Series:	Mathematics in Industry, 31
Release date:	March 2020
First published:	2020
Authors:	Vito Dario Camiola • Giovanni Mascali • Vittorio Romano
Dimensions:	235 x 155mm (L x W)
Format:	Hardcover
Pages:	337
Edition:	1st ed. 2020
ISBN-13:	978-3-03-035992-8
Categories:	Books > Science & Mathematics > Physics > General Books > Professional & Technical > Technology: general issues > Nanotechnology Books > Science & Mathematics > Mathematics > Applied mathematics > Mathematics for scientists & engineers Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Electronic devices & materials > Semi-conductors & super-conductors Promotions
LSN:	3-03-035992-1
Barcode:	9783030359928

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