The Monte Carlo Method in Condensed Matter Physics

  • Kurt Binder

Part of the Topics in Applied Physics book series (TAP, volume 71)

Table of contents

  1. Front Matter
    Pages I-XVI
  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 Jarques 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 355-383
  11. Back Matter
    Pages 385-393

About this book


The Monte Carlo method is now widely used and commonly accepted as an important and useful tool in solid state physics and related fields. It is broadly recognized that the technique of "computer simulation" is complementary to both analytical theory and experiment, and can significantly contribute to ad­ vancing the understanding of various scientific problems. Widespread applications of the Monte Carlo method to various fields of the statistical mechanics of condensed matter physics have already been reviewed in two previously published books, namely Monte Carlo Methods in Statistical Physics (Topics Curro Phys. , Vol. 7, 1st edn. 1979, 2ndedn. 1986) and Applications of the Monte Carlo Method in Statistical Physics (Topics Curro Phys. , Vol. 36, 1st edn. 1984, 2nd edn. 1987). Meanwhile the field has continued its rapid growth and expansion, and applications to new fields have appeared that were not treated at all in the above two books (e. g. studies of irreversible growth phenomena, cellular automata, interfaces, and quantum problems on lattices). Also, new methodic aspects have emerged, such as aspects of efficient use of vector com­ puters or parallel computers, more efficient analysis of simulated systems con­ figurations, and methods to reduce critical slowing down at i>hase transitions. Taken together with the extensive activity in certain traditional areas of research (simulation of classical and quantum fluids, of macromolecular materials, of spin glasses and quadrupolar glasses, etc.


Monte Carlo method computer simulation condensed matter condensed matter physics statistical physics

Editors and affiliations

  • Kurt Binder
    • 1
  1. 1.Institut für PhysikJohannes-Gutenberg-Universität MainzMainzFed. Rep. of Germany

Bibliographic information

  • DOI
  • Copyright Information Springer-Verlag Berlin Heidelberg 1992
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Springer Book Archive
  • Print ISBN 978-3-662-02857-5
  • Online ISBN 978-3-662-02855-1
  • Series Print ISSN 0303-4216
  • Series Online ISSN 1437-0859
  • Buy this book on publisher's site
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