Skip to content

A repository for the implementation of common workflow interfaces across materials-science codes and plugins

Notifications You must be signed in to change notification settings

rubel75/aiida-common-workflows

 
 

Repository files navigation

aiida-common-workflows

AiiDA common workflows

The AiiDA common workflows project provides computational workflows, implemented in AiiDA, to compute various material properties using any of the quantum engines that implement it. The distinguishing feature is that the interfaces of the AiiDA common workflows are uniform, independent of the quantum engine that is used underneath to perform the material property simulations. These common interfaces make it trivial to switch from quantum engine. In addition to the common interface, the workflows provide input generators that automatically define the required inputs for a given task and desired computational precision. For more information, please refer to the online documentation.

How to cite

If you use the workflow of this package, please cite the paper in which the work is presented:

S. P. Huber et al., npj Comput. Mater. 7, 136 (2021); doi:10.1038/s41524-021-00594-6

In addition, if you run the common workflows, please also cite:

  1. The AiiDA engine that manages the simulations and stores the provenance:

  2. the quantum engine(s) that you will use. We provide below a table of references for your convenience.

Engine DOIs or URLs to be cited
ABINIT 10.1016/j.cpc.2016.04.003 10.1016/j.cpc.2019.107042 10.1063/1.5144261
BigDFT 10.1063/5.0004792
CASTEP 10.1524/zkri.220.5.567.65075
CP2K 10.1002/wcms.1159 10.1063/5.0007045
FLEUR https://www.flapw.de
Gaussian see instructions here
NWChem 10.1063/5.0004997
ORCA 10.1002/wcms.81 10.1002/wcms.1327
Quantum ESPRESSO 10.1088/0953-8984/21/39/395502 10.1088/1361-648x/aa8f79
SIESTA 10.1063/5.0005077 10.1088/0953-8984/14/11/302
VASP 10.1103/physrevb.54.11169 10.1103/physrevb.59.1758

About

A repository for the implementation of common workflow interfaces across materials-science codes and plugins

Resources

Stars

Watchers

Forks

Packages

No packages published

Languages

  • Python 100.0%