Algorithms and applications of path-integral renormalization group method

Masatoshi Imada, Takahiro Mizusaki

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

Path-integral renormalization-group (PIRG) method is a rapidly developing tool for computing ground state properties of interacting quantum systems on lattices, particularly models for strongly correlated electrons such as the Hubbard model. It has served in clarifying phase diagrams of the Hubbard model containing quantum spin liquid phase. PIRG has also been implemented as a low-energy solver of the effective Hamiltonian for realistic systems. This makes it possible to construct a scheme of first-principles calculation by the hybrid approach combined with the density functional theory.

Original languageEnglish
Title of host publicationEffective Models for Low-Dimensional Strongly Correlated Systems
Pages78-91
Number of pages14
DOIs
Publication statusPublished - 2006 Feb 15
Externally publishedYes
EventEffective Models for Low-Dimensional Strongly Correlated Systems - Peyresq, France
Duration: 2005 Sep 122005 Sep 16

Publication series

NameAIP Conference Proceedings
Volume816
ISSN (Print)0094-243X
ISSN (Electronic)1551-7616

Conference

ConferenceEffective Models for Low-Dimensional Strongly Correlated Systems
CountryFrance
CityPeyresq
Period05/9/1205/9/16

Keywords

  • First-principles method
  • Hubbard model
  • Strongly correlated electrons

ASJC Scopus subject areas

  • Physics and Astronomy(all)

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  • Cite this

    Imada, M., & Mizusaki, T. (2006). Algorithms and applications of path-integral renormalization group method. In Effective Models for Low-Dimensional Strongly Correlated Systems (pp. 78-91). (AIP Conference Proceedings; Vol. 816). https://doi.org/10.1063/1.2178033