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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

To use TBEE:

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

numpy 1.10 scipy 0.16 matplotlib 1.5 See for Python installation details and to install a github repository (for mac).

Examples are available at

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File Name & Checksum SHA256 Checksum Help Version File Type Upload Date
tbee-0.1.tar.gz (21.7 kB) Copy SHA256 Checksum SHA256 Source Mar 28, 2016

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