Skip to main content

Toolkit for evaluating crystal structures with the TUKA criteria

Project description

TUKA is a set of criteria designed to evaluate the stability and novelty of crystal structures in the context of AI-driven materials discovery. A crystal is classified as TUKA-stable if it satisfies three core aspects:

  1. Thermodynamic feasibility (negative formation energy and close to the convex hull),
  2. Uniqueness (novel structure compared to known materials), and
  3. Kinetic stability (stable phonon spectrum).

The TUKA criteria were introduced in the survey Materials Generation in the Era of Artificial Intelligence and are supported by the open-source Python toolkit TUKAkit, which provides automated evaluation of candidate structures using these principles.

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

TUKAkit-0.0.1.tar.gz (10.3 kB view details)

Uploaded Source

Built Distribution

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

TUKAkit-0.0.1-py3-none-any.whl (12.2 kB view details)

Uploaded Python 3

File details

Details for the file TUKAkit-0.0.1.tar.gz.

File metadata

  • Download URL: TUKAkit-0.0.1.tar.gz
  • Upload date:
  • Size: 10.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.11.7

File hashes

Hashes for TUKAkit-0.0.1.tar.gz
Algorithm Hash digest
SHA256 a17c4c187c77c85f8d386919e609b00680fcd56c12bc308040529dce44a83c9d
MD5 08eeb292c9434bfdbbd86dcb5c802968
BLAKE2b-256 d894102853fac1ca34cc8700509c736ecc811e0ea5e75a835b28aac62572ad1d

See more details on using hashes here.

File details

Details for the file TUKAkit-0.0.1-py3-none-any.whl.

File metadata

  • Download URL: TUKAkit-0.0.1-py3-none-any.whl
  • Upload date:
  • Size: 12.2 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.11.7

File hashes

Hashes for TUKAkit-0.0.1-py3-none-any.whl
Algorithm Hash digest
SHA256 5ec17ea7fc43601c3c0f0b4425a81347274f0387377b742f462fd6034da132da
MD5 0b4bb1117f39f5537fc72b90dadaf602
BLAKE2b-256 65dd23357d9ee2b23a07bded96ad63b84c535a509e2e7e0fe8e0a75b87ccbc76

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