The Monte Carlo Method in Condensed Matter Physics:
Gespeichert in:
Weitere Verfasser: | |
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Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
Berlin, Heidelberg
Springer Berlin Heidelberg
1992
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Schriftenreihe: | Topics in Applied Physics
71 |
Schlagworte: | |
Online-Zugang: | Volltext |
Beschreibung: | 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 advancing 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, 2nd edn. 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 computers or parallel computers, more efficient analysis of simulated systems configurations, 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 |
Beschreibung: | 1 Online-Ressource (XVI, 393 p) |
ISBN: | 9783662028551 9783662028575 |
ISSN: | 0303-4216 |
DOI: | 10.1007/978-3-662-02855-1 |
Internformat
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500 | |a 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 advancing 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, 2nd edn. 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 computers or parallel computers, more efficient analysis of simulated systems configurations, 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 | ||
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Datensatz im Suchindex
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isbn | 9783662028551 9783662028575 |
issn | 0303-4216 |
language | English |
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spelling | The Monte Carlo Method in Condensed Matter Physics edited by Kurt Binder Berlin, Heidelberg Springer Berlin Heidelberg 1992 1 Online-Ressource (XVI, 393 p) txt rdacontent c rdamedia cr rdacarrier Topics in Applied Physics 71 0303-4216 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 advancing 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, 2nd edn. 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 computers or parallel computers, more efficient analysis of simulated systems configurations, 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 Physics Mathematical physics Mathematical Methods in Physics Numerical and Computational Physics Condensed Matter Physics Mathematische Physik Kondensierte Materie (DE-588)4132810-3 gnd rswk-swf Festkörperphysik (DE-588)4016921-2 gnd rswk-swf Statistische Mechanik (DE-588)4056999-8 gnd rswk-swf Monte-Carlo-Simulation (DE-588)4240945-7 gnd rswk-swf 1\p (DE-588)4143413-4 Aufsatzsammlung gnd-content Kondensierte Materie (DE-588)4132810-3 s Statistische Mechanik (DE-588)4056999-8 s Monte-Carlo-Simulation (DE-588)4240945-7 s 2\p DE-604 Festkörperphysik (DE-588)4016921-2 s 3\p DE-604 Binder, Kurt edt Topics in Applied Physics 71 (DE-604)BV008007504 71 https://doi.org/10.1007/978-3-662-02855-1 Verlag Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 2\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 3\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
spellingShingle | The Monte Carlo Method in Condensed Matter Physics Topics in Applied Physics Physics Mathematical physics Mathematical Methods in Physics Numerical and Computational Physics Condensed Matter Physics Mathematische Physik Kondensierte Materie (DE-588)4132810-3 gnd Festkörperphysik (DE-588)4016921-2 gnd Statistische Mechanik (DE-588)4056999-8 gnd Monte-Carlo-Simulation (DE-588)4240945-7 gnd |
subject_GND | (DE-588)4132810-3 (DE-588)4016921-2 (DE-588)4056999-8 (DE-588)4240945-7 (DE-588)4143413-4 |
title | The Monte Carlo Method in Condensed Matter Physics |
title_auth | The Monte Carlo Method in Condensed Matter Physics |
title_exact_search | The Monte Carlo Method in Condensed Matter Physics |
title_full | The Monte Carlo Method in Condensed Matter Physics edited by Kurt Binder |
title_fullStr | The Monte Carlo Method in Condensed Matter Physics edited by Kurt Binder |
title_full_unstemmed | The Monte Carlo Method in Condensed Matter Physics edited by Kurt Binder |
title_short | The Monte Carlo Method in Condensed Matter Physics |
title_sort | the monte carlo method in condensed matter physics |
topic | Physics Mathematical physics Mathematical Methods in Physics Numerical and Computational Physics Condensed Matter Physics Mathematische Physik Kondensierte Materie (DE-588)4132810-3 gnd Festkörperphysik (DE-588)4016921-2 gnd Statistische Mechanik (DE-588)4056999-8 gnd Monte-Carlo-Simulation (DE-588)4240945-7 gnd |
topic_facet | Physics Mathematical physics Mathematical Methods in Physics Numerical and Computational Physics Condensed Matter Physics Mathematische Physik Kondensierte Materie Festkörperphysik Statistische Mechanik Monte-Carlo-Simulation Aufsatzsammlung |
url | https://doi.org/10.1007/978-3-662-02855-1 |
volume_link | (DE-604)BV008007504 |
work_keys_str_mv | AT binderkurt themontecarlomethodincondensedmatterphysics |