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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.

Project description

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

Project details


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0.1

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