cgkmc
💎 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.
1 maintainer
Metadata
1 maintainer
Release files for cgkmc 0.2.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| cgkmc-0.2.0.tar.gz | 14.5 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| cgkmc-0.2.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 29.7 kB
Release files / cgkmc-0.2.0.tar.gz
| Download URL | cgkmc-0.2.0.tar.gz |
|---|---|
| Size | 14.5 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
542ec4e14426ca262822938c1b2e784d522b2f08af0235bb004ca0f2535bbcfa
|
|
BLAKE2b-256 checksum How to use checksums |
ec193c10fb625fd288b49c55ae7385abcc649a5d93fda6b32019659867874bbc
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/6.1.0 CPython/3.12.9
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Feb 18, 2026.
Transparency logRelease files / cgkmc-0.2.0-py3-none-any.whl
| Download URL | cgkmc-0.2.0-py3-none-any.whl |
|---|---|
| Size | 15.3 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
5e2b67b9b7293f8b6ebc0b53ca62f40c9cb641b5b6489a057d33d2359c8c88fb
|
|
BLAKE2b-256 checksum How to use checksums |
c064fea3b3820f4771f94d0b46931d2ae0ca41d9408f7e89de4fe6f67fafcc0d
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/6.1.0 CPython/3.12.9
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Feb 18, 2026.
Transparency log
