solid_dmft
solid_dmft: gray-boxing DFT+DMFT materials simulations with TRIQS - Published in JOSS (2022)
Science Score: 95.0%
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○CITATION.cff file
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✓DOI references
Found 3 DOI reference(s) in README and JOSS metadata -
✓Academic publication links
Links to: joss.theoj.org -
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7 of 20 committers (35.0%) from academic institutions -
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✓JOSS paper metadata
Published in Journal of Open Source Software
Keywords
Keywords from Contributors
Scientific Fields
Repository
solid_dmft is a versatile python wrapper to perform DFT+DMFT calculations utilizing the TRIQS software library.
Basic Info
- Host: GitHub
- Owner: TRIQS
- License: other
- Language: Python
- Default Branch: 3.3.x
- Homepage: https://triqs.github.io/solid_dmft/
- Size: 343 MB
Statistics
- Stars: 35
- Watchers: 9
- Forks: 27
- Open Issues: 6
- Releases: 12
Topics
Metadata Files
README.md

This program allows to perform DFT+DMFT one-shot and charge self-consistent (CSC) calculations from h5 archives or VASP/Quantum Espresso input files for multiband systems using the TRIQS software library, and the DFT code interface TRIQS/DFTTools. solid_dmft takes advantage of various impurity solvers available in TRIQS. Postprocessing scripts are available to perform analytic continuation and calculate spectral functions.
Documentation & tutorials
To learn how to use solid_dmft, take a look at the online documentation. There you can find: * input / output documentation * reference manual of functions * code structure * tutorials
Check also the solid_dmft publication in the JOSS journal for more information and further references.
Installation
You can install the latest soliddmft release simply via pip (PyPi): ``` pip install soliddmft ``` However, please make sure that you have a valid TRIQS and TRIQS/DFTTools installation matching the version of soliddmft. Furthermore, you need at least one of the supported DMFT impurity solvers installed to use soliddmft.
A more thorough installation can be performed manually via cmake, which will also check if you have a working and matching TRIQS installation.
Please check the installation page on the online documentation for more detailed instructions.
Copyright (C) 2018-2020, ETH Zurich Copyright (C) 2021, The Simons Foundation authors: A. Hampel, S. Beck, M. Merkel, and A. Carta (see LICENSE.txt for details)
Developed by the Materials Theory Group, ETH Zurich and the Center for Computational Quantum Physics, Flatiron Institute.
If you are using this code for your research, please cite it with this bib file.
Support
TRIQS/solid_dmft is supported by the Flatiron Institute, a division of the Simons Foundation.
Owner
- Name: TRIQS
- Login: TRIQS
- Kind: organization
- Website: https://triqs.github.io
- Repositories: 31
- Profile: https://github.com/TRIQS
Software Platform for Research on Interacting Quantum Systems
JOSS Publication
solid_dmft: gray-boxing DFT+DMFT materials simulations with TRIQS
Authors
Materials Theory, ETH Zürich, Wolfgang-Pauli-Strasse 27, 8093 Zürich, Switzerland
Tags
Python electronic structure theory solid-state computational materials science correlated electrons dynamical mean-field theoryGitHub Events
Total
- Create event: 2
- Release event: 1
- Issues event: 16
- Watch event: 3
- Delete event: 2
- Issue comment event: 37
- Push event: 41
- Pull request event: 9
- Fork event: 6
Last Year
- Create event: 2
- Release event: 1
- Issues event: 16
- Watch event: 3
- Delete event: 2
- Issue comment event: 37
- Push event: 41
- Pull request event: 9
- Fork event: 6
Committers
Last synced: 7 months ago
Top Committers
| Name | Commits | |
|---|---|---|
| Nils Wentzell | n****l@f****g | 339 |
| Alexander Hampel | a****l@f****g | 267 |
| Dylan Simon | d****n@d****t | 56 |
| mmerkel | m****l@m****h | 46 |
| phibeck | s****k@f****g | 23 |
| acarta | a****a@m****h | 21 |
| phibeck | s****k@m****h | 11 |
| Henri Menke | h****i@h****e | 11 |
| Thomas Hahn | t****1@g****m | 7 |
| Philipp D | p****u@f****g | 3 |
| Hugo U. R. Strand | h****d@g****m | 3 |
| the-hampel | m****l@a****e | 3 |
| dependabot[bot] | 4****] | 2 |
| Olivier Parcollet | o****t@c****r | 2 |
| Alberto Carta | 4****1 | 1 |
| Harry LaBollita | 4****a | 1 |
| Olivier Parcollet | o****t@i****r | 1 |
| cnyeh | y****n@g****m | 1 |
| ipark | p****3@g****m | 1 |
| jmmshn | j****n@g****m | 1 |
Committer Domains (Top 20 + Academic)
Issues and Pull Requests
Last synced: 6 months ago
All Time
- Total issues: 20
- Total pull requests: 54
- Average time to close issues: 16 days
- Average time to close pull requests: 17 days
- Total issue authors: 11
- Total pull request authors: 11
- Average comments per issue: 2.0
- Average comments per pull request: 0.41
- Merged pull requests: 50
- Bot issues: 0
- Bot pull requests: 4
Past Year
- Issues: 8
- Pull requests: 6
- Average time to close issues: 9 days
- Average time to close pull requests: 28 days
- Issue authors: 4
- Pull request authors: 4
- Average comments per issue: 2.25
- Average comments per pull request: 0.67
- Merged pull requests: 5
- Bot issues: 0
- Bot pull requests: 1
Top Authors
Issue Authors
- Vahid999 (5)
- shivupa (4)
- the-hampel (3)
- phibeck (2)
- guuuj (2)
- hellozhaoming (1)
- hmenke (1)
- amandadumi (1)
- Chen-Ziyan (1)
- jmmshn (1)
- asmith97 (1)
Pull Request Authors
- the-hampel (16)
- merkelm (11)
- hmenke (9)
- alberto-carta (9)
- dependabot[bot] (6)
- cnyeh (4)
- harrisonlabollita (3)
- jmmshn (2)
- InaPark93 (2)
- Wentzell (1)
- ghost (1)
Top Labels
Issue Labels
Pull Request Labels
Packages
- Total packages: 1
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Total downloads:
- pypi 65 last-month
- Total dependent packages: 0
- Total dependent repositories: 0
- Total versions: 11
- Total maintainers: 1
pypi.org: solid-dmft
solid_dmft: a versatile python wrapper to perform DFT+DMFT calculations utilizing the TRIQS software library
- Homepage: https://triqs.github.io/solid_dmft
- Documentation: https://solid-dmft.readthedocs.io/
- License: GNU General Public License v3 (GPLv3)
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Latest release: 3.3.2
published 11 months ago
Rankings
Maintainers (1)
Dependencies
- actions/checkout v2 composite
- actions/checkout v2 composite
- actions/checkout v2 composite
- numpy *
- pytest *
- scikit-image *
- scipy *
- numpyscipyargparsepytestscikit-image *