Quantum Lattice Model Simulator Package

a python package for computing magnetic interaction parameters

Efficient parallel quantum chemistry DMRG in MPO formalism

Generate 1- and 2-electron integrals so that molecular quantum chemistry software can be used for model Hamiltonians.

Monte Carlo simulations of magnetic systems in Python

Stochastic Series Expansion (SSE) for a isotropic S=1/2 antiferromagnetic quantum Heisenberg model in 1D, 2D or 3D lattice . Every lattice has periodic boundary conditions and should have a even number of spins.

Based on the classical lattice model (Heisenberg, XY, XYZ, etc.), code Ether has been developed to study the thermodynamics of ANY CRYSTAL SYSTEM by performing the basic Monte Carlo methods. Metropolis algorithm has been used to equate all the observables

Monte-Carlo implementation of an anisotropic 2D Heisenberg Model. Used to predict magnetic order in Metal-Organic Frameworks.

A program specifically designed to simplify the computation of magnetic interaction matrix and simulate spin textures under various environmental conditions.

Implementations of the Heisenberg model in statistical mechanics, done in Python 2.7.12 (with NumPy, SciPy, and matplotlib).

AiiDA plugin for the spirit code

Collaborative work on a simple python code for DMRG.

One-dimensional Heisenberg model simulator.

A tool for building crystal lattice models with distance-dependent neighbor interactions.

Julia modules for exact diagonalization of 1D Heisenberg model and exact time-evolution.

This script obtains the energies and eigenvalues in a 2 or 3 -spin system from a Heisenberg model, offering the combined base that diagonalizes the Hamiltonian to visualize the components of each spin state as a function of the echange coupling J, a magnetic field and magnetic anisotropy in/out of plane. It can handle any spin values.