Package of (Cayley) tree generators and numerical algorithms for solving tight-binding models on these trees
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Updated
Sep 2, 2025 - Python
Package of (Cayley) tree generators and numerical algorithms for solving tight-binding models on these trees
Base codes I wrote during my internship at MPIPKS (May 2025 - Apr 2026). Main contributions to the ongoing research are not included in this repo.
Numerical codes and simulations for my Master's Thesis on Topological Superconductivity in High Chern Number Systems.
Python implementation of the Haldane model demonstrating topological band structure and Chern number calculation
Topological edge mode analysis of 1-dimensional waving machine and 2-dimensional graphene.
Repo created to post codes developed during my monograph as a requirement to bachelor degree in Physics
Ab initio calculation of the spin Hall conductivity in topological insulators using Quantum ESPRESSO and Wannier90 codes.
Energy spectra for the Hamiltonian of two coupled SSH chains
Code based on the Python package Kwant, referring to the supplemental material of the article "Fabry-Pérot resonant vortices and magnetoconductance in topological insulator constrictions with magnetic barriers".
Topological Insulator Models (TIM) provides c++ classes for tight binding models of topological insulators
Repo for paper on Dirac annihilation
Code for calculating Floquet- Bloch Hamiltonians in Python
Python scripts to calculate and plot the quasienergy spectra from the time-independent Floquet hamiltonian of physical systems
Recovered files for interface state/photonic zero mode project in 2016
Using Neural networks to compute topological invariants in insulators
Interaction-driven topological superconductivity
Scientific Python package for solving Slater Koster tight-binding topological hamiltonian
User-friendly open-source software to design and solve tight-binding models, addressing electronic properties, topology, interactions, non-collinear magnetism, and unconventional superconductivity, among others.
Package to perform tight binding calculation in tight binding models, with a friendly user interface
Python library to compute properties of quantum tight binding models, including topological, electronic and magnetic properties and including the effect of many-body interactions.
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