Skip to main content

Spinney: a Python package for assisting with first-principles simulations of point defects in solids.

Project description

Purpose

Spinney is a software package developed in order to assist with first-principles investigations of point defects in solids within the supercell approach. For this purpose, several tools able to aid in the various steps associated with this kind of studies are implemented.

Some of the tasks that Spinney is able to perform are:

  • Compute, from external data (taken for example from online repositories), the ranges of validity for the elements chemical potentials according to thermodynamic constraints;

  • Calculate the correction energy due to electrostatic finite-size-effects in charged supercells;

  • Calculate defect formation energies and transition levels;

  • Calculate defects and carriers concentrations.

Spinney is written in Python and offers a very general and flexible user interface which can be easily integrated with any first-principles code.

Installation

The easiest way to install Spinney is through pip:

pip install spinney

We suggest to create a virtual environment in which the Spinney code can be installed.

The requirement for a successful installation are:

Authors

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

Spinney-0.7a5.tar.gz (1.5 MB view details)

Uploaded Source

Built Distribution

Spinney-0.7a5-py3-none-any.whl (1.6 MB view details)

Uploaded Python 3

File details

Details for the file Spinney-0.7a5.tar.gz.

File metadata

  • Download URL: Spinney-0.7a5.tar.gz
  • Upload date:
  • Size: 1.5 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/2.0.0 pkginfo/1.5.0.1 requests/2.21.0 setuptools/41.2.0 requests-toolbelt/0.9.1 tqdm/4.32.1 CPython/3.7.1

File hashes

Hashes for Spinney-0.7a5.tar.gz
Algorithm Hash digest
SHA256 7223fdc83ffe954ae313ed881f825a1a4fa1e5e1be07ad145831b4d1142db195
MD5 217c0d65999489213510a719e98ff4c7
BLAKE2b-256 48fbe877503745a5f5447963c30ce8e9b946eccf66dcc52d4d782d66cf6633f1

See more details on using hashes here.

Provenance

File details

Details for the file Spinney-0.7a5-py3-none-any.whl.

File metadata

  • Download URL: Spinney-0.7a5-py3-none-any.whl
  • Upload date:
  • Size: 1.6 MB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/2.0.0 pkginfo/1.5.0.1 requests/2.21.0 setuptools/41.2.0 requests-toolbelt/0.9.1 tqdm/4.32.1 CPython/3.7.1

File hashes

Hashes for Spinney-0.7a5-py3-none-any.whl
Algorithm Hash digest
SHA256 609816b1c2d7ab6cdd92cb08f0907e586da92a4da3f88d616b1c25d370d199a1
MD5 a6a06d5050b437f3eca0197dea6f333f
BLAKE2b-256 010ecc70e23f9d47918d7adf29200813c8c3c99281ffae102209315c9f1d0533

See more details on using hashes here.

Provenance

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