sneg is a Mathematica package for performing algebraic calculation with non-commuting operators in many-particle physics
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Updated
Feb 26, 2026 - Wolfram Language
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.
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
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.
Solve strongly correlated condensed matter systems. Fast and simple.
Collection of tools for condensed matter computational physics.
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.
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.
LaTeX code for my Master's thesis on multi-orbital Dynamical Vertex Approximation.
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