MateriApps
物質科学シミュレーションのポータルサイト

現在アプリ掲載数323件

お問合せ / アプリ掲載依頼
もっと詳しく探す

HΦ

  • 公開度：3 ★★★
  • ドキュメント充実度：2 ★★☆

An exact diagonalization package for a wide range of quantum lattice models (e.g. multi-orbital Hubbard model, Heisenberg model, Kondo lattice model). HΦ also supports the massively parallel computations. The Lanczos algorithm for obtaining the ground state and thermal pure quantum state method for finite-temperature calculations are implemented. In addition, dynamical Green’s functions can be calculated using Kω, which is a library of the shifted Krylov subspace method. It is possible to perform simulations for real-time evolution from ver. 3.0.

基本情報
Last Update:2024/06/14

公式サイト

http://www.pasums.issp.u-tokyo.ac.jp/hphi/en/

ライセンス

GNU GPL version 3
This software is developed under the support of “Project for advancement of software usability in materials science” by The Institute for Solid State Physics, The University of Tokyo. We hope that you cite the references, Comp. Phys. Commun. 217 (2017) 180-192 and Comput. Phys. Commun. 298, 109093 (2024), when you publish the results using HΦ (hphi).

利用環境

The supercomputer system-B “sekirei”, “ohtaka” and system-C “enaga” in ISSP
Linux PC + intel compiler, Linux PC + gcc, Mac + gcc, Mac + intel compiler
開発者

Youhei Yamaji (Quantum-Phase Electronics Center, The University of Tokyo), Takahiro Misawa (Institute for Solid State Physics, The University of Tokyo), Synge Todo (Department of Physics, The University of Tokyo), Kazuyoshi Yoshimi (Institute for Solid State Physics, The University of Tokyo), Mitsuaki Kawamura (Institute for Solid State Physics, The University of Tokyo), Naoki Kawashima (Institute for Solid State Physics, The University of Tokyo), Kota Ido (Institute for Solid State Physics, The University of Tokyo)
対象となる物質・モデル

Hubbard model, Heisenberg model, Kondo lattice model, Kitaev model, Kitaev-Heisenberg model, multi-orbital Hubbard model
求められる物理量

specific heat, susceptibility, ground state energy, free energy, structure factors
手法

Lanczos algorithm, thermal pure quantum state, full diagonalization
並列化対応

MPI/OpenMP hybrid parallelization is supported.

GPGPU is available in full diagonalization method (from ver. 3.1).
関連アプリ
関連キーワード
文献
その他
TOP