Skip to main content

Semi-empirical potential fitting in Python

Project description

ForgeFF: semi-empirical potential fitting in Python

Latest release Release downloads GitHubActions

ForgeFF is a Python toolkit for fitting semi-empirical interatomic potentials. It keeps the model equations, parameter order, and fitting workflow explicit so the fundamentals stay easy to inspect and explain.

Install from PyPI with:

pip install ForgeFF

The recommended user-facing format is TOML:

  • custom analytic pair potentials
  • built-in analytical forms such as Morse and double-Morse
  • tabulated EAM and ADP term blocks
  • beginner-friendly examples for training, evaluation, grading, and calculators

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

forgeff-1.1.6.tar.gz (17.3 MB view details)

Uploaded Source

Built Distribution

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

forgeff-1.1.6-py3-none-any.whl (123.8 kB view details)

Uploaded Python 3

File details

Details for the file forgeff-1.1.6.tar.gz.

File metadata

  • Download URL: forgeff-1.1.6.tar.gz
  • Upload date:
  • Size: 17.3 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.12

File hashes

Hashes for forgeff-1.1.6.tar.gz
Algorithm Hash digest
SHA256 bd95eda09429b93d1a14fd695010ada1e19a03564b40f2ffb1d30a8cff929bf0
MD5 148b41bca0684b5bea741c0ab4833ad9
BLAKE2b-256 d76836b6cebad39e149aa5140ffc68ee7dd84dd55afc89ce06f15987fd147a5a

See more details on using hashes here.

Provenance

The following attestation bundles were made for forgeff-1.1.6.tar.gz:

Publisher: pypi.yml on prnvrvs/ForgeFF

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file forgeff-1.1.6-py3-none-any.whl.

File metadata

  • Download URL: forgeff-1.1.6-py3-none-any.whl
  • Upload date:
  • Size: 123.8 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.12

File hashes

Hashes for forgeff-1.1.6-py3-none-any.whl
Algorithm Hash digest
SHA256 42cf4a1a8d2df5e7e4f8392cb46192c2219431f7e9c50d631d2f03b7611ccdc1
MD5 3da21488d78ce322a47facf63d500649
BLAKE2b-256 3298f5b4e2077353898e9207acb6e77f56faa07fcbae8fdd04d1d0221b2da24b

See more details on using hashes here.

Provenance

The following attestation bundles were made for forgeff-1.1.6-py3-none-any.whl:

Publisher: pypi.yml on prnvrvs/ForgeFF

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

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