Multiscale Modeling in Biomechanics and Mechanobiology
Presenting a state-of-the-art overview of theoretical and computational models that link characteristic biomechanical phenomena, this book provides guidelines and examples for creating multiscale models in representative systems and organisms. It develops
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tiscale Modeling in Biomechanics and Mechanobiology
Multiscale Modeling in Biomechanics and Mechanobiology
Suvranu De Wonmuk Hwang Ellen Kuhl •
Editors
Multiscale Modeling in Biomechanics and Mechanobiology
123
Editors Suvranu De Department of Mechanical, Aerospace, and Nuclear Engineering Rensselaer Polytechnic Institute Troy, NY USA
Ellen Kuhl Departments of Mechanical Engineering, Bioengineering and Cardiothoracic Surgery Stanford University Stanford, CA USA
Wonmuk Hwang Department of Biomedical Engineering Texas A&M University College Station, TX USA
ISBN 978-1-4471-6598-9 DOI 10.1007/978-1-4471-6599-6
ISBN 978-1-4471-6599-6
(eBook)
Library of Congress Control Number: 2014951146 Springer London Heidelberg New York Dordrecht © Springer-Verlag London 2015 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. Exempted from this legal reservation are brief excerpts in connection with reviews or scholarly analysis or material supplied specifically for the purpose of being entered and executed on a computer system, for exclusive use by the purchaser of the work. Duplication of this publication or parts thereof is permitted only under the provisions of the Copyright Law of the Publisher’s location, in its current version, and permission for use must always be obtained from Springer. Permissions for use may be obtained through RightsLink at the Copyright Clearance Center. Violations are liable to prosecution under the respective Copyright Law. 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. While the advice and information in this book are believed to be true and accurate at the date of publication, neither the authors nor the editors nor the publisher can accept any legal responsibility for any errors or omissions that may be made. The publisher makes no warranty, express or implied, with respect to the material contained herein. Printed on acid-free paper Springer is part of Springer Science+Business Media (www.springer.com)
Preface
Biological systems are arguably the most complex subjects in scientific research, especially regarding the enormous range of length and time scales involved. At the molecular level, structures and dynamics involving biomolecules are highly sophisticated and stochastic. At the cellular level, numerous molecular components, many of which are unidentified, interact and organize in space and time, from which nonequilibrium physiological processes e
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