dca_mi

https://github.com/jiangmi/dca_mi

Science Score: 44.0%

This score indicates how likely this project is to be science-related based on various indicators:

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CITATION.cff file
Found CITATION.cff file
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codemeta.json file
Found codemeta.json file
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.zenodo.json file
Found .zenodo.json file
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Scientific vocabulary similarity
Low similarity (9.2%) to scientific vocabulary

Last synced: 6 months ago · JSON representation ·

Repository

Basic Info

Host: GitHub
Owner: jiangmi
License: bsd-3-clause
Language: C++
Default Branch: master
Size: 77.3 MB

Statistics

Stars: 0
Watchers: 1
Forks: 0
Open Issues: 1
Releases: 0

Created over 4 years ago · Last pushed 6 months ago

Metadata Files

Readme Contributing License Citation

DCA++

With the DCA++ project, we aim to gain insight into the fascinating physics of strongly correlated electron systems by employing modern quantum cluster methods. The DCA++ code provides a state of the art implementation of the dynamical cluster approximation (DCA) and its DCA⁺ extension. High scalability and portable performance allow to exploit today's leadership computing systems.

Getting Started

Information about prerequisites, details on the CMake-based building procedure, and a small tutorial can be found in the Wiki.
Questions about building or running DCA++ can be submitted via the issue tracking system.

Contributing Back

Bug reports and feature requests can be submitted via the issue tracking system.

Please read the contribution guidelines for details on how to contribute code.

Citation Guidelines

Please follow the citation guidelines, if you use the DCA++ code for scientific publications.

CDash Dashboard

Dashboard displaying the latest build status

Owner

Login: jiangmi
Kind: user

Repositories: 2
Profile: https://github.com/jiangmi

Citation (CITATION.md)

# Citation Guidelines

If the DCA++ code contributes to your research, we kindly ask to acknowledge this in any resulting scientific publication by citing the following paper:

Urs R. Hähner, Gonzalo Alvarez, Thomas A. Maier, Raffaele Solcà, Peter Staar, Michael S. Summers, and Thomas C. Schulthess,
*DCA++: A software framework to solve correlated electron problems with modern quantum cluster methods,*
Comput. Phys. Commun. 246 (2020) 106709.

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