The Variational Cluster Approximation for Hubbard Models: Practical Implementation
The Variational cluster approximation (VCA) is an approximate method for finding properties the Hubbard model, the basic model used in the study of strongly correlated electron systems. Such systems include, for instance, high-temperature and organic superconductors. The method involves solving exac...
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Published in | 2008 22nd International Symposium on High Performance Computing Systems and Applications pp. 9 - 15 |
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Main Author | |
Format | Conference Proceeding |
Language | English |
Published |
IEEE
01.06.2008
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Subjects | |
Online Access | Get full text |
ISBN | 0769532500 9780769532509 |
ISSN | 1550-5243 |
DOI | 10.1109/HPCS.2008.18 |
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Summary: | The Variational cluster approximation (VCA) is an approximate method for finding properties the Hubbard model, the basic model used in the study of strongly correlated electron systems. Such systems include, for instance, high-temperature and organic superconductors. The method involves solving exactly the Hubbard model on a small cluster of lattice sites, after adding fields that represent the effect of the cluster's environment. We present an outline of the method and describe its implementation. In particular, we show how to efficiently carry frequency- wavevector integrals that are central to the method. |
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ISBN: | 0769532500 9780769532509 |
ISSN: | 1550-5243 |
DOI: | 10.1109/HPCS.2008.18 |