Skip to main content

Custom FireWorks additions

Project description

Custom FireWorks extensions

PyPI Tests

Johannes Hörmann, johannes.hoermann@imtek.uni-freiburg.de, Mar 2020

This repository contains custom fireworks tasks and helper scripts used for conducting computational parametric studies presented in

J. L. Hörmann, C. (刘宸旭) Liu, Y. (孟永钢) Meng, and L. Pastewka, “Molecular simulations of sliding on SDS surfactant films,” The Journal of Chemical Physics, vol. 158, no. 24, p. 244703, Jun. 2023, doi: 10.1063/5.0153397.

Quick start

Install the official FireWorks package, i.e. by pip install fireworks, (https://github.com/materialsproject/fireworks) and subsequently make this package available to your FireWorks environment, i.e. by pip install jlhfw.

Custom FireTasks quick start

To use custom FireTasks within jlhfw, append

ADD_USER_PACKAGES:
  - jlhfw.fireworks.user_objects.firetasks

to your ~/.fireworks/FW_config.yaml.

Configuration samples part of the FireWorks RocketLauncher Manager include this line already.

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

jlhfw-0.6.0.tar.gz (89.3 kB view details)

Uploaded Source

Built Distribution

jlhfw-0.6.0-py3-none-any.whl (77.7 kB view details)

Uploaded Python 3

File details

Details for the file jlhfw-0.6.0.tar.gz.

File metadata

  • Download URL: jlhfw-0.6.0.tar.gz
  • Upload date:
  • Size: 89.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/5.1.1 CPython/3.12.7

File hashes

Hashes for jlhfw-0.6.0.tar.gz
Algorithm Hash digest
SHA256 0ddbf86bece30e5d21cbb397859e28bce98105d38bd0b8ef22877bcfaac50166
MD5 9987c6ac7d769f731971aae94877c050
BLAKE2b-256 89bc89763d8edd1e12a3647b4ea9d0884d9d96bb520d8e1ba145ac60eb0cc0e8

See more details on using hashes here.

File details

Details for the file jlhfw-0.6.0-py3-none-any.whl.

File metadata

  • Download URL: jlhfw-0.6.0-py3-none-any.whl
  • Upload date:
  • Size: 77.7 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/5.1.1 CPython/3.12.7

File hashes

Hashes for jlhfw-0.6.0-py3-none-any.whl
Algorithm Hash digest
SHA256 6c4e46d42f004a7704b3227aeebe436eb377c1d490de64e05748c2c6242ef4f0
MD5 cbdb6a049448aaa4dd7f7361f936d3e2
BLAKE2b-256 4655d0292e5ba9af04a3f57d1fc80442c38258301c2b9bc6db91a418e13740c0

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