Skip to main content

Crystal Growth Kinetic Monte Carlo

Project description

cgkmc

Custom shields.io

PyPI version shields.io PyPI pyversions shields.io

💎 What is cgkmc?

cgkmc is a package for performing crystal growth simulations using the Kinetic Monte Carlo method. cgkmc's namesake is shorthand for Crystal Growth Kinetic Monte Carlo.

📥 Installation

pip install cgkmc

📃 License

cgkmc is released under the MIT License.

🔖 Citing

If you found this package useful, please cite our work in Crystal Growth & Design.

❤️ Acknowledgements

This work was supported by the Laboratory Directed Research and Development program of Los Alamos National Laboratory under project no. 20220431ER. This research used resources provided by the Los Alamos National Laboratory Institutional Computing Program. Los Alamos National Laboratory is operated by Triad National Security, LLC, for the National Nuclear Security Administration of U.S. Department of Energy (contract no. 89233218CNA000001).

Additionally, this material is based on work supported by the National Science Foundation under Grant Nos. MRI# 2024205, MRI# 1725573, and CRI# 2010270 for allotment of compute time on the Clemson University Palmetto Cluster.

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

cgkmc-0.2.0.tar.gz (14.5 kB view details)

Uploaded Source

Built Distribution

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

cgkmc-0.2.0-py3-none-any.whl (15.3 kB view details)

Uploaded Python 3

File details

Details for the file cgkmc-0.2.0.tar.gz.

File metadata

  • Download URL: cgkmc-0.2.0.tar.gz
  • Upload date:
  • Size: 14.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.12.9

File hashes

Hashes for cgkmc-0.2.0.tar.gz
Algorithm Hash digest
SHA256 542ec4e14426ca262822938c1b2e784d522b2f08af0235bb004ca0f2535bbcfa
MD5 d025471a41f8004a8952e43fcb8b2832
BLAKE2b-256 ec193c10fb625fd288b49c55ae7385abcc649a5d93fda6b32019659867874bbc

See more details on using hashes here.

Provenance

The following attestation bundles were made for cgkmc-0.2.0.tar.gz:

Publisher: workflow.yml on jwjeffr/cgkmc

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

File details

Details for the file cgkmc-0.2.0-py3-none-any.whl.

File metadata

  • Download URL: cgkmc-0.2.0-py3-none-any.whl
  • Upload date:
  • Size: 15.3 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.12.9

File hashes

Hashes for cgkmc-0.2.0-py3-none-any.whl
Algorithm Hash digest
SHA256 5e2b67b9b7293f8b6ebc0b53ca62f40c9cb641b5b6489a057d33d2359c8c88fb
MD5 e2a22733bacc676c2df555fd8c835789
BLAKE2b-256 c064fea3b3820f4771f94d0b46931d2ae0ca41d9408f7e89de4fe6f67fafcc0d

See more details on using hashes here.

Provenance

The following attestation bundles were made for cgkmc-0.2.0-py3-none-any.whl:

Publisher: workflow.yml on jwjeffr/cgkmc

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