https://github.com/aiidateam/aiida-quantumespresso

The official AiiDA plugin for Quantum ESPRESSO

https://github.com/aiidateam/aiida-quantumespresso

Science Score: 36.0%

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    Low similarity (4.5%) to scientific vocabulary

Keywords

aiida quantum-espresso

Keywords from Contributors

dft common-workflows materials-science ab-initio density-functional-theory dfpt aiida-vasp vasp materials kohn-sham
Last synced: 9 months ago · JSON representation

Repository

The official AiiDA plugin for Quantum ESPRESSO

Basic Info
Statistics
  • Stars: 67
  • Watchers: 12
  • Forks: 95
  • Open Issues: 138
  • Releases: 0
Topics
aiida quantum-espresso
Created almost 9 years ago · Last pushed 9 months ago
Metadata Files
Readme Changelog License

README.md

aiida-quantumespresso

PyPI version PyPI pyversions Build Status Docs status

This is the official AiiDA plugin for Quantum ESPRESSO.

Compatibility matrix

The matrix below assumes the user always install the latest patch release of the specified minor version, which is recommended.

| Plugin | AiiDA | Python | Quantum ESPRESSO | |-|-|-|-| | v4.11 < v5.0 | Compatibility for v4.0 | PyPI pyversions | Quantum ESPRESSO compatibility | | v4.8 < v4.11 | Compatibility for v4.0 | PyPI pyversions | Quantum ESPRESSO compatibility | | v4.5 < v4.8 | Compatibility for v4.0 | PyPI pyversions | Quantum ESPRESSO compatibility | | v4.3 < v4.5 | Compatibility for v4.0 | PyPI pyversions | Quantum ESPRESSO compatibility | | v4.0 < v4.3 | Compatibility for v4.0 | PyPI pyversions | Quantum ESPRESSO compatibility | | v3.5 < v4.0 | Compatibility for v3.5 | PyPI pyversions | Quantum ESPRESSO compatibility | | v3.4 < v3.5 | Compatibility for v3.4 | PyPI pyversions | Quantum ESPRESSO compatibility | | v3.3 < v3.4 | Compatibility for v3.3 | PyPI pyversions | Quantum ESPRESSO compatibility | | v3.1 < v3.3 | Compatibility for v3.1 | PyPI pyversions | Quantum ESPRESSO compatibility | | v3.0 < v3.1 | Compatibility for v3.0 | PyPI pyversions | Quantum ESPRESSO compatibility | | v2.0 < v3.0 | Compatibility for v2.0 | PyPI pyversions | Quantum ESPRESSO compatibility |

Starting from aiida-quantumespresso==4.0, the last three minor versions of Quantum ESPRESSO are supported. Older versions are supported up to a maximum of two years.

Installation

To install from PyPI, simply execute:

pip install aiida-quantumespresso

or when installing from source:

git clone https://github.com/aiidateam/aiida-quantumespresso
pip install aiida-quantumespresso

Command line interface tool

The plugin comes with a builtin CLI tool: aiida-quantumespresso. This tool is built using the click library and supports tab-completion. To enable it, add the following to your shell loading script, e.g. the .bashrc or virtual environment activate script:

eval "$(_AIIDA_QUANTUMESPRESSO_COMPLETE=source aiida-quantumespresso)"

The tool comes with various sub commands, for example to quickly launch some calculations and workchains For example, to launch a test PwCalculation you can run the following command:

aiida-quantumespresso calculation launch pw -X pw-v6.1 -F SSSP/1.1/PBE/efficiency

Note that this requires the code pw-v6.1 and pseudopotential family SSSP/1.1/PBE/efficiency to be configured. See the pseudopotentials section on how to install them easily. Each command has a fully documented command line interface, which can be printed to screen with the help flag:

aiida-quantumespresso calculation launch ph --help

which should print something like the following:

Usage: aiida-quantumespresso calculation launch ph [OPTIONS]

  Run a PhCalculation.

Options:
  -X, --code CODE                 A single code identified by its ID, UUID or
                                  label.  [required]
  -C, --calculation CALCULATION   A single calculation identified by its ID or
                                  UUID.  [required]
  -k, --kpoints-mesh INTEGER...   The number of points in the kpoint mesh
                                  along each basis vector.  [default: 1, 1, 1]
  -m, --max-num-machines INTEGER  The maximum number of machines (nodes) to
                                  use for the calculations.  [default: 1]
  -w, --max-wallclock-seconds INTEGER
                                  the maximum wallclock time in seconds to set
                                  for the calculations.  [default: 1800]
  -i, --with-mpi                  Run the calculations with MPI enabled.
                                  [default: False]
  -d, --daemon                    Submit the process to the daemon instead of
                                  running it locally.  [default: False]
  -h, --help                      Show this message and exit.

Pseudopotentials

Pseudopotentials are installed and managed through the aiida-pseudo plugin. The easiest way to install pseudopotentials, is to install a version of the SSSP through the CLI of aiida-pseudo. Simply run

aiida-pseudo install sssp

to install the default SSSP version. List the installed pseudopotential families with the command aiida-pseudo list. You can then use the name of any family in the command line using the -F flag.

Development

Running tests

To run the tests, simply clone and install the package locally with the [tests] optional dependencies:

shell git clone https://github.com/aiidateam/aiida-quantumespresso . cd aiida-quantumespresso pip install -e .[tests] # install extra dependencies for test pytest # run tests

You can also use tox to run the test set. Here you can also use the -e option to specify the Python version for the test run: shell pip install tox tox -e py39 -- tests/calculations/test_pw.py

Pre-commit

To contribute to this repository, please enable pre-commit so the code in commits are conform to the standards. Simply install the repository with the pre-commit extra dependencies: shell cd aiida-quantumespresso pip install -e .[pre-commit] pre-commit install

License

The aiida-quantumespresso plugin package is released under the MIT license. See the LICENSE.txt file for more details.

Acknowledgements

We acknowledge support from: * the NCCR MARVEL funded by the Swiss National Science Foundation; * the EU Centre of Excellence "MaX – Materials Design at the Exascale" (Horizon 2020 EINFRA-5, Grant No. 676598; H2020-INFRAEDI-2018-1, Grant No. 824143; HORIZON-EUROHPC-JU-2021-COE-1, Grant No. 101093374); * the European Union's Horizon 2020 research and innovation programme (Grant No. 957189, project BIG-MAP, also part of the BATTERY 2030+ initiative, Grant No. 957213); * the swissuniversities P-5 project "Materials Cloud".

Owner

  • Name: AiiDA team
  • Login: aiidateam
  • Kind: organization

The development team of AiiDA

GitHub Events

Total
  • Create event: 23
  • Issues event: 23
  • Watch event: 13
  • Delete event: 13
  • Member event: 2
  • Issue comment event: 194
  • Push event: 68
  • Pull request review comment event: 49
  • Gollum event: 2
  • Pull request review event: 98
  • Pull request event: 83
  • Fork event: 19
Last Year
  • Create event: 23
  • Issues event: 23
  • Watch event: 13
  • Delete event: 13
  • Member event: 2
  • Issue comment event: 194
  • Push event: 68
  • Pull request review comment event: 49
  • Gollum event: 2
  • Pull request review event: 98
  • Pull request event: 83
  • Fork event: 19

Committers

Last synced: about 1 year ago

All Time
  • Total Commits: 797
  • Total Committers: 39
  • Avg Commits per committer: 20.436
  • Development Distribution Score (DDS): 0.407
Past Year
  • Commits: 33
  • Committers: 8
  • Avg Commits per committer: 4.125
  • Development Distribution Score (DDS): 0.424
Top Committers
Name Email Commits
Sebastiaan Huber m****l@s****t 473
Marnik Bercx m****x@g****m 101
Giovanni Pizzi g****i@e****h 45
Marco Borelli b****m 30
Lorenzo 7****o 20
Peter Gillespie 5****e 12
Dominik Gresch g****d 11
Chris Sewell c****l@h****m 11
DropD r****n@g****h 9
Jusong Yu j****u@g****m 8
Davide Grassano 3****a 7
Junfeng Qiao q****g@o****m 6
AndresOrtegaGuerrero 3****o 5
Riccardo Bertossa 3****i 5
Aliaksandr Yakutovich y****a@g****m 5
Daniele Tomerini 4****i 4
Leopold Talirz l****z@g****m 4
Oscar David Arbeláez o****z@e****h 4
AntimoMarrazzo a****o@e****h 4
Kristjan Eimre e****k 4
Timo Reents 7****s 3
Sebastiaan Huber s****r@e****h 3
Francisco Ramirez r****f 2
Michael Hernandez Bertran 8****t 2
Xing Wang x****1@g****m 2
normarivano 4****o 2
Oscar Arbeláez o****e@g****m 2
Miki Bonacci 4****i 2
zhubonan 3****n 1
mkotiuga m****a@b****u 1
and 9 more...
Committer Domains (Top 20 + Academic)

Issues and Pull Requests

Last synced: 9 months ago

All Time
  • Total issues: 102
  • Total pull requests: 242
  • Average time to close issues: about 1 year
  • Average time to close pull requests: 3 months
  • Total issue authors: 33
  • Total pull request authors: 28
  • Average comments per issue: 2.19
  • Average comments per pull request: 2.51
  • Merged pull requests: 168
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 21
  • Pull requests: 83
  • Average time to close issues: about 2 months
  • Average time to close pull requests: 13 days
  • Issue authors: 14
  • Pull request authors: 15
  • Average comments per issue: 1.9
  • Average comments per pull request: 1.24
  • Merged pull requests: 47
  • Bot issues: 0
  • Bot pull requests: 0
Top Authors
Issue Authors
  • mbercx (30)
  • AndresOrtegaGuerrero (10)
  • bastonero (9)
  • superstar54 (5)
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  • sphuber (5)
  • borellim (4)
  • t-reents (3)
  • ltalirz (3)
  • cpignedoli (2)
  • qiaojunfeng (2)
  • giovannipizzi (2)
  • mikibonacci (2)
  • Minotakm (1)
  • rikigigi (1)
Pull Request Authors
  • mbercx (88)
  • bastonero (40)
  • sphuber (24)
  • AndresOrtegaGuerrero (14)
  • PNOGillespie (13)
  • unkcpz (7)
  • t-reents (6)
  • superstar54 (5)
  • mikibonacci (5)
  • ValkScripter (5)
  • Minotakm (4)
  • mhdzbert (3)
  • danielhollas (3)
  • rikigigi (3)
  • yakutovicha (3)
Top Labels
Issue Labels
priority/nice to have (22) type/enhancement (20) priority/important (14) type/bug (13) topic/calculations (12) topic/workflows (11) topic/parsers (11) discussion required (9) topic/documentation (6) topic/protocol (5) type/requested feature (3) priority/critical (2) type/refactoring (2) type/accepted feature (2) topic/dependencies (1) type/deprecation (1) type/breaking (1) topic/cli (1)
Pull Request Labels
topic/parsers (6) priority/important (5) type/enhancement (5) topic/calculations (4) pr/blocked (3) topic/workflows (3) priority/critical (3) topic/documentation (3) priority/nice to have (2) topic/utilities (2) type/accepted feature (1) type/bug (1)

Dependencies

.github/workflows/cd.yml actions
  • actions/cache v1 composite
  • actions/checkout v2 composite
  • actions/setup-python v2 composite
  • postgres 12 docker
  • rabbitmq latest docker
.github/workflows/ci.yml actions
  • actions/cache v1 composite
  • actions/checkout v2 composite
  • actions/setup-python v2 composite
  • postgres 12 docker
  • rabbitmq latest docker
.github/workflows/nightly.yml actions
  • actions/cache v1 composite
  • actions/checkout v2 composite
  • actions/setup-python v2 composite
  • rtCamp/action-slack-notify master composite
  • postgres 12 docker
  • rabbitmq latest docker
pyproject.toml pypi
  • aiida-pseudo ~=1.0
  • aiida_core [atomic_tools]~=2.1
  • click ~=8.0
  • importlib_resources *
  • jsonschema *
  • numpy *
  • packaging *
  • qe-tools ~=2.0
  • xmlschema ~=1.2,>=1.2.5