Skip to main content

Large Scale Tight Binding + Symmetries

Project description

<img src=”https://github.com/khsrali/LTB-Symm/blob/develop/docs/source/_images/logo_V_0.1.png?raw=true” width=”1200” alt=”image” />

# LTB-Symm

LTB-Symm is a publicly available code that does two things: large scale tight-binding (LTB) calculation of 2D materials, and checks topological symmetries (Symm) of their wave functions.

## Who benefits

LTB-Symm is an ideal choice for researchers looking for a ready-to-use, easy-to-modify, and MPI-implemented TB code for large scale 2D structures. Up to 1 (0.1) Milions atoms for limited (vast) K-points, is (easily) managable.

Specially communities who deal with twisted bilayer/multilayer graphene.

All input needed are: 1. Coordinate of atoms/orbitals, e.g. lammpstrj, XYZ 2. Functional form of Hamiltoninan

And possible outputs are: - Bands structure, - Density of States, - Check topological symmetries of wave functions. - Shape of the wavefunction

## Bold features

  • MPI implemented, able to run on HPC clusters.

  • Object Oriented, easy to modify for multi purpose.

  • Efficient, calculate only a few energy levels that are needed.

  • Ideal for 2D materials, e.g. graphene.

  • Many routings are automated.

  • The only open-source code that we know of which is able to investigate group symmetries in this way.

Project details


Download files

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

Source Distribution

LTB-Symm-1.0.0.tar.gz (24.4 kB view details)

Uploaded Source

File details

Details for the file LTB-Symm-1.0.0.tar.gz.

File metadata

  • Download URL: LTB-Symm-1.0.0.tar.gz
  • Upload date:
  • Size: 24.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.8.3

File hashes

Hashes for LTB-Symm-1.0.0.tar.gz
Algorithm Hash digest
SHA256 da8ae413e3fc342c432d315f401cc36ecd25a1f0366443dcd28c6dda675837bc
MD5 c4f14088d7f5c934ec0635fe6d17c214
BLAKE2b-256 e3e517fc3b986659f7dbd185d822514eacedbc83450b2b32a78f5d1b3a6f0907

See more details on using hashes here.

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