Python Tight-Binding module

Python module to build up and solve Tight-Binding models.

tbee is written in fully vectorized Numpy.

tbee is composed of the following classes:

• lattice
• system
• plot
• propagation
• save

tbee main features:

• Complex lattice structures.

• Complex-valued onsite energies and hoppings.

• Hermitian and non-Hermitian Tight-Binding Hamiltonians.

• Onsite energies defined by tags.

• Hoppings defined by their type, tags, and angles.

• Any type of hoppings:

  • Neighbors hoppings,
  • Next-neighbors hoppings,
  • Next-next-neighbors hoppings,
  • etc..

• Implementation of onsite energies and hopping patterns:

  • Dimerization defects.
  • Magnetic field.
  • Strain.
  • Hopping disorder.
  • Onsite disorder.

• Time propagation

tbee is available at https://github.com/cpoli/tbee

To use tbee:

• Install Python3.4 or Python3.5 and the three additional packages:

  • numpy 1.10
  • scipy 0.16
  • matplotlib 1.5

• See https://cpoli.github.io/python-doc.html for Python installation details

  and to install a github repository (for mac).

Examples are available at https://github.com/cpoli/tbee/tree/master/examples