tbee 0.1

TBEE is a package providing a Python implementation, with heavy use of numpy vectorization, of Tight-Binding models. It can be used to build up and solve tight-binding models with complex-valued onsite energies and hoppings.

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.

• Sublattices.

• 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 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