Joel R. Fried - Polymer Science and Technology

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Third Edition

Joel R. Fried

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Library of Congress Cataloging-in-Publication Data
Fried, Joel R.
Polymer science and technology / Joel R. Fried.Third edition.
pages cm
Includes bibliographical references and index.
ISBN 978-0-13-703955-5 (hardcover : alk. paper)
1. Polymers. 2. Polymerization. I. Title.
QD381.F73 2014
668.9dc23 2014000967

Copyright 2014 Pearson Education, Inc.

All rights reserved. Printed in the United States of America. This publication is protected by copyright, and permission must be obtained from the publisher prior to any prohibited reproduction, storage in a retrieval system, or transmission in any form or by any means, electronic, mechanical, photocopying, recording, or likewise. To obtain permission to use material from this work, please submit a written request to Pearson Education, Inc., Permissions Department, One Lake Street, Upper Saddle River, New Jersey 07458, or you may fax your request to (201) 236-3290.

ISBN-13: 978-0-13-703955-5
ISBN-10: 0-13-703955-7

Text printed in the United States on recycled paper at Courier Corporation in Westford, Massachusetts.
First printing, May 2014

To my parents, who provided the opportunities,
support, and guidance, and to my wife, Ava, and sons,
Marc and Aaron, for their love, patience, and
understanding.

Polymer Science and Technology, Third Edition, provides new and expanded coverage in a number of areas of contemporary interest in polymer science and technology. In particular, , on polymers for advanced technologies. In addition, an entirely new chapter on correlations and simulation methods in polymer science has been added. This new chapter includes expanded treatment of group-correlation methods to predict polymer properties that has previously appeared in a number of earlier chapters in the second edition. Totally new is the inclusion of topological indices and artificial neural networks to predict properties. For the first time in an introductory polymer textbook, the fundamentals and applications of computational polymer science including the use of molecular dynamics and Monte Carlo methods are presented with a number of examples and exercise problems.

Joel R. Fried
Tallahassee, Florida