Coupled Mathematical Models for Physical and Biological Nanoscale Systems and Their Applications
This volume gathers selected contributions from the participants of the Banff International Research Station (BIRS) workshop Coupled Mathematical Models for Physical and Biological Nanoscale Systems and their Applications, who explore various aspects
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Luis L. Bonilla · Efthimios Kaxiras Roderick Melnik Editors
Coupled Mathematical Models for Physical and Biological Nanoscale Systems and Their Applications Banff International Research Station, Banff, Canada, 28 August–2 September 2016
Springer Proceedings in Mathematics & Statistics Volume 232
Springer Proceedings in Mathematics & Statistics This book series features volumes composed of selected contributions from workshops and conferences in all areas of current research in mathematics and statistics, including operation research and optimization. In addition to an overall evaluation of the interest, scientific quality, and timeliness of each proposal at the hands of the publisher, individual contributions are all refereed to the high quality standards of leading journals in the field. Thus, this series provides the research community with well-edited, authoritative reports on developments in the most exciting areas of mathematical and statistical research today.
More information about this series at http://www.springer.com/series/10533
Luis L. Bonilla Efthimios Kaxiras Roderick Melnik •
Editors
Coupled Mathematical Models for Physical and Biological Nanoscale Systems and Their Applications Banff International Research Station, Banff, Canada, 28 August–2 September 2016
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Editors Luis L. Bonilla Department of Materials Science and Engineering and G. Millan Institute Universidad Carlos III de Madrid Leganés Spain
Roderick Melnik The MS2 Discovery Interdisciplinary Research Institute Wilfrid Laurier University Waterloo, ON Canada
Efthimios Kaxiras Lyman Laboratory of Physics, Department of Physics Harvard University Cambridge, MA USA
ISSN 2194-1009 ISSN 2194-1017 (electronic) Springer Proceedings in Mathematics & Statistics ISBN 978-3-319-76598-3 ISBN 978-3-319-76599-0 (eBook) https://doi.org/10.1007/978-3-319-76599-0 Library of Congress Control Number: 2018938351 Mathematics Subject Classification (2010): 78A70, 82C26, 82C31, 82D37, 82D80, 92C05, 92C17, 92B05, 97M10, 97M50, 97M60 © Springer International Publishing AG, part of Springer Nature 2018 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 gi
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