DeePTB: A deep learning package for tight-binding approach with ab initio accuracy.
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Updated
Jun 28, 2024 - Python
DeePTB: A deep learning package for tight-binding approach with ab initio accuracy.
Toolkit with Kernel Polynomial Method based modules for quantum physics simulations.
A repo containing code for TSC (topological superconductivity) simulations.
LTB-Symm is a publicly available code that does two things: large scale tight-binding (LTB) calculation of 2D materials, and checks topological symmetries (Symm) of their wave functions.
Codes to predict DoS of a polymer chain in vacuum with Python Tightbinding (Huckel model)
TiPSi builder module as a pure Python package for ease of installation
StraWBerryPy (Single-poinT and local invaRiAnts for Wannier Berriologies in Python) is a Python package to calculate topological invariants and quantum-geometrical quantities in non-crystalline topological insulators
Efficient And Fully Differentiable Extended Tight-Binding
Python package to model and calculate electronic properties of materials using atomic configurations from experiments or computer simulations (e.g classical molecular dynamics) via tight-binding formulation
BinPo: A code for electronic properties of 2D electron systems
Code for exact diagonalization of BoseHubbard hamiltonian
(Work in Progress) Tight binding model for MAPI based on PythTB module.
Python package implementing the kernel polynomial method
A VASP and Wannier90 interfaced tool for projection analysis and fully automated dis energy window optimization
General purpose Slater-Koster tight-binding library for electronic structure calculations
User interface to perform quantum transport calculations with non equilibrium Green's functions
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