Quantum Lattice Model Simulator Package
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Updated
Aug 9, 2024 - Shell
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.
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.
Simulating a One-Dimensional Heisenberg Model
A program specifically designed to simplify the computation of magnetic interaction matrix and simulate spin textures under various environmental conditions.
A tool for building crystal lattice models with distance-dependent neighbor interactions.
This program calculates the isotropic exchange coupling parameters using Green's function technnique
Strong Disorder RG Flow and the Random Singlet Phase of a 1D Random AF Heisenberg Spin-1/2 Chain.
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