sneg is a Mathematica package for performing algebraic calculation with non-commuting operators in many-particle physics

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

DMFT software for CORrelated Electrons

Exact Diagonalization for Hubbard model/Tight-binding model by MatheMatica

Efficient and stable Determinant Quantum Monte Carlo simulations in Python

DGApy is a python toolbox for the Matsubara Green's function formalism of correlated electrons on a lattice.

This calculates the minimum eigenvalue in the Hubbard model with the use of the exact diagonalization method.

A python implementation of Bethe ansatz in the Hubbard model by Lieb and Wu

Collection of tools for condensed matter computational physics.

Blazing fast IPT code treating Bethe-Hubbard model at half-filling.

Solve strongly correlated condensed matter systems. Fast and simple.

This is an implementation of perturbed static path approximation on half-filled Hubbard model.

This repository contains an exact diagonalization implementation for Hubbard model written in Rust.

This repository holds most of what I did as part of my summer 2023 project at the Flatiron Institute Center for Computational Quantum Physics (CCQ). This mainly entails the investigation of the tight binding model on various toy models, and more importantly transition metal compounds.

Lattice Monte-Carlo for carbon nano systems

Massively parallel exact diagonalization of large model Hamiltonians.

All my condensed matter physics research simulation codes in MATLAB, based on floquet analysis, Hubbard model and dynamic localization of many-particle systems on lattices.

LaTeX code for my Master's thesis on multi-orbital Dynamical Vertex Approximation.