Category: Strong correlation/effective models

Integrated package for model and ab initio calculations with dynamical mean-field theory (DMFT)

• Obtain spectral functions of strongly correlated electron systems with DMFT
• Run DMFT calculations combined with first-principles calculations

Path-integral quantum Monte Carlo solver for quantum lattice systems at finite temperature

• Compute finite-temperature properties of quantum spin systems and Bose-Hubbard models

Python package that analyzes itinerant electron systems with the unrestricted Hartree-Fock (UHF) approximation and the random phase approximation (RPA)

• Study ordered phases with the unrestricted Hartree-Fock approximation
• Compute susceptibilities with the random phase approximation (RPA)

Large-scale exact diagonalization solver for quantum lattice models

• Compute ground states of spin and itinerant-electron models
• Obtain dynamical correlation functions (spectra)

Solver for strongly correlated electron systems based on the many-variable variational Monte Carlo method

• Obtain ground states of strongly correlated electron models variationally
• Compute correlation functions of large systems

Massively parallel tensor-network solver for two-dimensional quantum lattice models

• Study ground-state and finite-temperature properties of 2D quantum spin and boson systems
• Run tensor-network (iTPS) calculations at scale in parallel

Solves the Bethe-Salpeter equation in DMFT to compute momentum-dependent two-particle susceptibilities (post-processing for DCore)

• Obtain dynamical and static susceptibilities from DCore results

Generates input files for HPhi, mVMC, H-wave and others from a simple configuration file

• Quickly prepare input files for standard lattice models

Linear-equation solver library based on the shifted Krylov subspace method (dynamical Green's functions)

• Compute dynamical Green's functions at many frequencies efficiently

[Examples] HPhi input/output files with descriptions of the models

[Tutorial] Learning material for using mVMC

[Examples] Calculation examples for Komega

First-principles software that computes RPA response functions, Wannier functions and matrix elements of screened interactions to derive effective models of materials

• Derive low-energy effective models (interaction parameters) of materials from first-principles calculations