Skip to main content

For research on machine learning applications for materials

Project description

Carcará logo

License: MIT PyPI

Carcará

🚧 (Under development) 🚧

Machine learning for atomistic simulations.

Installation

From pip

The easiest way to install Carcará is with pip:

pip install carcara

From github

To install Carcará directly from the GitHub repository, run the following commands:

pip install git+https://github.com/seixasgroup/carcara.git

Getting started

Training

Evaluation

# TODO

License

This is an open source code under MIT License.

Acknowledgements

We thank financial support from FAPESP (Grant No. 2022/14549-3), INCT Materials Informatics (Grant No. 406447/2022-5), and CNPq (Grant No. 311324/2020-7).

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

carcara-26.4.0.tar.gz (564.3 kB view details)

Uploaded Source

Built Distribution

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

carcara-26.4.0-py3-none-any.whl (8.4 kB view details)

Uploaded Python 3

File details

Details for the file carcara-26.4.0.tar.gz.

File metadata

  • Download URL: carcara-26.4.0.tar.gz
  • Upload date:
  • Size: 564.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.12.7

File hashes

Hashes for carcara-26.4.0.tar.gz
Algorithm Hash digest
SHA256 33db8b24542045502cdb61a6c9606d257bb62679b964817d80d4dba9814a53b5
MD5 194a772d3ad95c7ac525b49e16e628c2
BLAKE2b-256 9200b722298e80ed32cb163066ba8ba1057ea4623aef0ff6c61d3102b7a14bbe

See more details on using hashes here.

File details

Details for the file carcara-26.4.0-py3-none-any.whl.

File metadata

  • Download URL: carcara-26.4.0-py3-none-any.whl
  • Upload date:
  • Size: 8.4 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.12.7

File hashes

Hashes for carcara-26.4.0-py3-none-any.whl
Algorithm Hash digest
SHA256 bbc3d621b3c85c1d519b869533db385b36fb0a738bed6652639fdea16eb14027
MD5 0097f69620dfaa05a45df581beb903f9
BLAKE2b-256 9d1b4b7826a215cba9eecc543d2b2ce3cdc728f49388fc4a34148a0f1c5cf52e

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