Table of contents

  1. Front Matter
  2. Kurt Binder
    Pages 1-22
  3. Dieter W. Heermann, Anthony N. Burkitt
    Pages 53-74
  4. Robert H. Swendsen, Jian-Sheng Wang, Alan M. Ferrenberg
    Pages 75-91
  5. Hans J. Herrmann
    Pages 93-120
  6. Dominique Levesque, Jean Jacques Weis
    Pages 121-204
  7. Kevin E. Schmidt, David M. Ceperley
    Pages 205-248
  8. Hans De Raedt, Wolfgang von der Linden
    Pages 249-284
  9. Artur Baumgärtner
    Pages 285-316
  10. Allan P. Young, Joseph D. Reger, Kurt Binder
    Pages 355-384
  11. K. Binder, A. Baumgärtner, A. N. Burkitt, D. Ceperley, A. M. Ferrenberg, D. W. Heermann et al.
    Pages 385-410
  12. Back Matter

About this book

Introduction

Alongside experimental and theoretical work, computer simulation now forms one of the major tools of research in physics. The Monte Carlo method is the most important simulation method in the area of condensed matter physics. This book, written by foremost experts in the field, describes the state of the art of simulation methods in solid state physics. It also reviews selected applications in areas of particular current interest like simulations of growth processes far from equilibrium, interfacial phenomena, quantum and classical fluids, polymers, quantum problems on lattices, and random systems. A new chapter on recent developments in the Monte Carlo simulation of condensed matter has been attached.

Keywords

algorithms computer simulation condensed matter condensed matter physics equilibrium mechanics Monte Carlo method polymer solid-state physics statistical mechanics statistical physics

Bibliographic information

  • DOI https://doi.org/10.1007/3-540-60174-0
  • Copyright Information Springer-Verlag 1995
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Springer Book Archive
  • Print ISBN 978-3-540-60174-6
  • Online ISBN 978-3-540-44664-4
  • Series Print ISSN 0303-4216
  • Series Online ISSN 1437-0859
  • About this book
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