Kernel Polynomial Method implementation using Chebyshev expansion for disordered lattices.
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Updated
Nov 20, 2018 - Fortran
Kernel Polynomial Method implementation using Chebyshev expansion for disordered lattices.
Tanslate a TB model into Hcircuit Model (Spice Model) and manipulate it
Material for the DFTB+ school in Daresbury 2022
Java class files (from Maven project) demonstrating tight coupling, loose coupling with interface and abstract class, and loose coupling with Spring Framework
Simple code to obtain the dispersion curve and z component of spin-spin correlation for a 1D Tight Binding model.
Codes to predict DoS of a polymer chain in vacuum with Python Tightbinding (Huckel model)
🎲⛓👉🧪 Markov Chain Monte Carlo on the Falikov-Kimball model.
TiPSi builder module as a pure Python package for ease of installation
(Work in Progress) Tight binding model for MAPI based on PythTB module.
Quantum methods of solid state physics program showing band structure od 2-dimentional carbon crystal - graphene. It's calculated using method of tight binding (TB).
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
Tight Binding calculation of the Density of States of disordered materials
DeePTB: A deep learning package for tight-binding approach with ab initio accuracy.
Toolkit with Kernel Polynomial Method based modules for quantum physics simulations.
Slave-Spin Mean-Field approach based on tight-binding models.
A repo containing code for TSC (topological superconductivity) simulations.
Here we are trying to model & simulate the band structures (tightbinding, FDTD, PWE (plane wave expansion), Density Functional theory (DFT), ...)
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