DMFT software for CORrelated Electrons

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

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

Efficient and stable Determinant Quantum Monte Carlo simulations in Python

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

Collection of tools for condensed matter computational physics.

Solve strongly correlated condensed matter systems. Fast and simple.

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

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

MOTT transition within MATLAB. Blazing fast IPT code treating Bethe-Hubbard model at half-filling.

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.

Massively parallel exact diagonalization of large model Hamiltonians.

Lattice Monte-Carlo for carbon nano systems

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.

This repository presents my journey through numerical methods in the context of materials endowed with strongly correlated electrons.

A collection of programs and scripts to solve and analyze the Kane-Mele-Hubbard model in a variety of (dynamical) mean-field settings