Charge Transport in Low Dimensional Semiconductor Structures The Max
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
- PDF / 7,628,658 Bytes
- 344 Pages / 439.42 x 683.15 pts Page_size
- 2 Downloads / 252 Views
Vito Dario Camiola Giovanni Mascali Vittorio Romano
Charge Transport in Low Dimensional Semiconductor Structures The Maximum Entropy Approach
Mathematics in Industry The European Consortium for Mathematics in Industry Volume 31
Managing Editor Michael Günther, University of Wuppertal, Wuppertal, Germany Series Editors Luis L. Bonilla, University Carlos III Madrid, Escuela, Leganes, Spain Otmar Scherzer, University of Vienna, Vienna, Austria Wil Schilders, Eindhoven University of Technology, Eindhoven, The Netherlands
The ECMI subseries of the Mathematics in Industry series is a project of The European Consortium for Mathematics in Industry. Mathematics in Industry focuses on the research and educational aspects of mathematics used in industry and other business enterprises. Books for Mathematics in Industry are in the following categories: research monographs, problem-oriented multi-author collections, textbooks with a problem-oriented approach, conference proceedings. Relevance to the actual practical use of mathematics in industry is the distinguishing feature of the books in the Mathematics in Industry series.
More information about this subseries at http://www.springer.com/series/4651
Vito Dario Camiola • Giovanni Mascali • Vittorio Romano
Charge Transport in Low Dimensional Semiconductor Structures The Maximum Entropy Approach
Vito Dario Camiola Department of Mathematics and Computer Science University of Catania Catania, Italy
Giovanni Mascali Department of Mathematics and Computer Science University of Calabria Arcavacata di Rende, Italy
Vittorio Romano Department of Mathematics and Computer Science University of Catania Catania, Italy
ISSN 1612-3956 ISSN 2198-3283 (electronic) Mathematics in Industry The European Consortium for Mathematics in Industry ISBN 978-3-030-35992-8 ISBN 978-3-030-35993-5 (eBook) https://doi.org/10.1007/978-3-030-35993-5 © Springer Nature Switzerland AG 2020 This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. The publisher, the authors, and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of publication. Neither the publisher nor the authors or the editors give a warranty, expressed or implied, with respect to the material contained herein or for any errors or omissions that may have been made. The publisher remai
Data Loading...
