Skip to main content

A python library for crystallographic symmetry operations and Symmetry-Adapted Multipole Basis (SAMB).

Project description

MultiPie

A Python library for crystallographic symmetry operations and Symmetry-Adapted Multipole Basis (SAMB). Molecular or crystal structures are best drawn by using QtDraw.

  • Authors: Hiroaki Kusunose and Rikuto Oiwa

  • Citing MultiPie and QtDraw: If you are using MultiPie and/or QtDraw in your scientific research, please help our scientific visibility by citing our work:

    Hiroaki Kusunose, Rikuto Oiwa, and Satoru Hayami, Symmetry-adapted modeling for molecules and crystals, Phys. Rev. B 107, 195118 (2023).
    DOI: https://doi.org/10.1103/PhysRevB.107.195118

  • Installation: MultiPie can be installed from PyPI using pip on Python >= 3.9:

    pip install multipie
    

    You can also visit PyPI or GitHub to download the source.

  • Requirements:

    • This library optionally requires TeXLive environment to create LaTeX and PDF files.
    • Molecular or crystal structure files are optionally generated by QtDraw.
  • See also:

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

multipie-1.3.1.tar.gz (3.1 MB view details)

Uploaded Source

Built Distribution

multipie-1.3.1-py3-none-any.whl (3.2 MB view details)

Uploaded Python 3

File details

Details for the file multipie-1.3.1.tar.gz.

File metadata

  • Download URL: multipie-1.3.1.tar.gz
  • Upload date:
  • Size: 3.1 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.12.5

File hashes

Hashes for multipie-1.3.1.tar.gz
Algorithm Hash digest
SHA256 4fcaa8bd7ba3d2112ab6b48465571d19fbf997e17cd4bdbebf040558b45e72ac
MD5 56ecb988c3d1271d5ed45cb2054fd495
BLAKE2b-256 0509d6869e0b176dd17a60079c2c1dcbdb995e54d2c1ed2e4b10c0ea1b3d0351

See more details on using hashes here.

File details

Details for the file multipie-1.3.1-py3-none-any.whl.

File metadata

  • Download URL: multipie-1.3.1-py3-none-any.whl
  • Upload date:
  • Size: 3.2 MB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.12.5

File hashes

Hashes for multipie-1.3.1-py3-none-any.whl
Algorithm Hash digest
SHA256 3b47f2b65277eb83e4af1db165b2811579da0987097f4e4c62c288769b7deab8
MD5 0d4ec4131a2900ff8b5dd13e5c691ddb
BLAKE2b-256 52d682d23654dc3d85da8bf0b8076688bbf8bc176f6225345051c07580aff4e9

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