Crystal Growth Kinetic Monte Carlo

Navigation

Verified details

These details have been verified by PyPI
Project links
GitHub Statistics
Maintainers
Avatar for jwjeffr from gravatar.com jwjeffr

Unverified details

These details have not been verified by PyPI
Meta
  • License Expression: MIT
    SPDX License Expression
  • Tags crystal , graph , growth , kmc , morphology , nanocrystal , surface
  • Requires: Python >=3.9
  • Provides-Extra: dev
Classifiers
Report project as malware

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.

Project details

Verified details

These details have been verified by PyPI
Project links
GitHub Statistics
Maintainers
Avatar for jwjeffr from gravatar.com jwjeffr

Unverified details

These details have not been verified by PyPI
Meta
  • License Expression: MIT
    SPDX License Expression
  • Tags crystal , graph , growth , kmc , morphology , nanocrystal , surface
  • Requires: Python >=3.9
  • Provides-Extra: dev
Classifiers

Release history Release notifications | RSS feed

0.2.0

0.1.1

0.0.16

0.0.15

0.0.14

0.0.13

0.0.12

0.0.11

0.0.10

0.0.9

0.0.8

This version

0.0.7

0.0.6

0.0.5

0.0.4

0.0.3

0.0.2

0.0.1

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

cgkmc-0.0.7.tar.gz (12.0 kB view details)

Uploaded Source

Built Distribution

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

cgkmc-0.0.7-py3-none-any.whl (12.4 kB view details)

Uploaded Python 3

File details

Details for the file cgkmc-0.0.7.tar.gz.

File metadata

  • Download URL: cgkmc-0.0.7.tar.gz
  • Upload date:
  • Size: 12.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.12.9

File hashes

Hashes for cgkmc-0.0.7.tar.gz
Algorithm Hash digest
SHA256 94529cbdc1046355aa978661e8dcdd5a95069286b6ab68907deb6ae5c6762b97
MD5 59c91cbbf903b586d6353448e1b795b7
BLAKE2b-256 40fb92951e9bd739985fb77f16deebab33ecf6cef1e02accca76502f1a7a175e

See more details on using hashes here.

Provenance

The following attestation bundles were made for cgkmc-0.0.7.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-0.0.7-py3-none-any.whl.

File metadata

  • Download URL: cgkmc-0.0.7-py3-none-any.whl
  • Upload date:
  • Size: 12.4 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.12.9

File hashes

Hashes for cgkmc-0.0.7-py3-none-any.whl
Algorithm Hash digest
SHA256 9a3c4e6bcf82bdae1ccf618bf9456441ea9d659a22fd508955925199699eec31
MD5 36c9de651ce754d11eaa81ed1167cdb8
BLAKE2b-256 a245bb17400c9a997f5c7f48ebb3fe2793b9e5b1b76289e9a722cd6d080db3ad

See more details on using hashes here.

Provenance

The following attestation bundles were made for cgkmc-0.0.7-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