Skip to main content

A Python library for building and sampling NEP models via the GPUMD package

Project description

https://joss.theoj.org/papers/10.21105/joss.06264/status.svg

calorine is a Python package for running and analyzing molecular dynamics (MD) simulations via GPUMD. It also provides functionality for constructing and sampling neuroevolution potential (NEP) models via GPUMD. The full documentation can be found at https://calorine.materialsmodeling.org/.

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

calorine-3.0.tar.gz (257.0 kB view details)

Uploaded Source

File details

Details for the file calorine-3.0.tar.gz.

File metadata

  • Download URL: calorine-3.0.tar.gz
  • Upload date:
  • Size: 257.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.12.3

File hashes

Hashes for calorine-3.0.tar.gz
Algorithm Hash digest
SHA256 96b250ffff8f1fdc0ffd27b7fbb22c0ec664a638f7fe4cd8a6426dc17c9f94d3
MD5 4132e47170993599f9474524be423aa9
BLAKE2b-256 8eaaee035c7c260575facb98b796c69953d0b1e0f4dde7e20f9386f08fba1b58

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