Skip to main content

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

Project details

Release history Release notifications | RSS feed

This version


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

tbee-0.1.tar.gz (21.7 kB view hashes)

Uploaded Source

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page