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 hashes)

Uploaded Source

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