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

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.

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

Solve strongly correlated condensed matter systems. Fast and simple.

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

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.

Massively parallel exact diagonalization of large model Hamiltonians.

Lattice Monte-Carlo for carbon nano systems

Systematic DFT study of electronic properties in Group-VI transition metal dichalcogenides (TMDs) using GPAW. Includes band structure calculations, density of states analysis, and orbital projections for 1H, 1T, and 1T' phases. Course project for Computational Materials Science II at University of Crete.

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