Skip to main content

TB2J: First principle to Heisenberg exchange J using tight-binding Green function method

Project description

Python application Documentation Status Build Status Downloads

Description

TB2J is a open source python package for calculating the magnetic interaction parameters in Heisenberg models from DFT. It use the magnetic force theorem and take the local rigid spin rotation as a perturbation in the Green's function method.

The TB2J project is initialized in the PhyTheMa and Nanomat teams in the University of Liege.

The features include:

  • Calculates parameters in Heisenberg model, including isotropic exchange, anisotropic exchange, Dyzanoshinskii-Moriya interaction.
  • Can use the input from many DFT codes with Wannier90, e.g. Abinit, Quantum Espresso, Siesta, VASP, etc.
  • Can use input from DFT codes with numerical orbitals from Siesta, OpenMX and ABACUS.
  • Calculate magnon band structure from the Heisenberg Hamiltonian.
  • Generate input for spin dynamics/Monte Carlo codes MULTIBINIT.
  • Require only ground state DFT calculation.
  • No need for supercells.
  • Calculate magnetic interaction up to large distance.
  • Minimal user input, which allows for a black-box like experience and automatic workflows.
  • Versatile API on both the input (DFT Hamiltonian) and the output (Heisenberg model) sides.

For more information, see the documentation on https://tb2j.readthedocs.io/en/latest/

Dependencies

  • python (tested for ver 3.6)
  • numpy
  • scipy
  • ASE (atomic simulation environment)
  • matplotlib (optional) if you want to plot magnon band structure directly.
  • sisl (optional) for Siesta interface

Installation

pip install TB2J

Message:

  • We welcome contributions. If you would like to add the interface to other codes, or extend the capability of TB2J, please contact us! <mailhexu_AT_gmail_DOT_com>

Project details


Release history Release notifications | RSS feed

Download files

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

Source Distribution

tb2j-0.9.12.25.tar.gz (397.6 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

tb2j-0.9.12.25-py3-none-any.whl (222.0 kB view details)

Uploaded Python 3

File details

Details for the file tb2j-0.9.12.25.tar.gz.

File metadata

  • Download URL: tb2j-0.9.12.25.tar.gz
  • Upload date:
  • Size: 397.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.10.12

File hashes

Hashes for tb2j-0.9.12.25.tar.gz
Algorithm Hash digest
SHA256 39db8c26bcc8d9bc8e9a0bba604779f964f126967b2307215ac98aec5a707bb7
MD5 f36d8102e8f18d5edf4b33298f3f9734
BLAKE2b-256 c988d6608ba8a3903514ccbd998a95f1f892e1510031a15fba70daa176be6905

See more details on using hashes here.

File details

Details for the file tb2j-0.9.12.25-py3-none-any.whl.

File metadata

  • Download URL: tb2j-0.9.12.25-py3-none-any.whl
  • Upload date:
  • Size: 222.0 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.10.12

File hashes

Hashes for tb2j-0.9.12.25-py3-none-any.whl
Algorithm Hash digest
SHA256 f3f1dcf4ab2468c4efcf917beb3e21923b63122e138619662810f783937a88db
MD5 4e81acc9bacccdc96e25f915f8b5cd82
BLAKE2b-256 84b9ae12e25e5845c8a6b40655ecb6c0ba8c844294ba62c79748cfa406ace2d8

See more details on using hashes here.

Supported by

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