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https://github.com/gkclab/libdmet_preview
A library of density matrix embedding theory (DMET).
https://github.com/gkclab/libdmet_preview
ab-initio condensed-matter-physics density-matrix-embedding-theory quantum-chemistry
Last synced: 3 months ago
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A library of density matrix embedding theory (DMET).
- Host: GitHub
- URL: https://github.com/gkclab/libdmet_preview
- Owner: gkclab
- License: gpl-3.0
- Created: 2021-08-29T23:49:56.000Z (about 3 years ago)
- Default Branch: main
- Last Pushed: 2024-08-01T02:51:44.000Z (3 months ago)
- Last Synced: 2024-08-01T05:31:07.031Z (3 months ago)
- Topics: ab-initio, condensed-matter-physics, density-matrix-embedding-theory, quantum-chemistry
- Language: Python
- Homepage:
- Size: 2.08 MB
- Stars: 28
- Watchers: 3
- Forks: 15
- Open Issues: 3
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Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
libDMET
===============================================
![Build Status](https://github.com/zhcui/libdmet_solid/workflows/CI/badge.svg)
[![License: GPL v3](https://img.shields.io/badge/License-GPLv3-blue.svg)](https://www.gnu.org/licenses/gpl-3.0)A library of density matrix embedding theory (DMET) for lattice models and realistic solids.
Installation
------------* Prerequisites
- [PySCF](https://github.com/pyscf/pyscf) 2.0 or higher.* Add libdmet top-level directory to your `PYTHONPATH` and you are all set!
e.g. if libdmet_preview is installed in `/opt`, your `PYTHONPATH` should beexport PYTHONPATH=/opt/libdmet_preview:$PYTHONPATH
* Extensions
- [Wannier90](https://github.com/wannier-developers/wannier90): optional, for wannier functions as local orbitals.
- [Block2](https://github.com/block-hczhai/block2-preview.git): optional, for DMRG solver.
- [Stackblock](https://github.com/sanshar/StackBlock): optional, for DMRG solver.
- [Arrow](https://github.com/QMC-Cornell/shci/tree/master): optional, for SHCI solver.Reference
------------The following papers should be cited in publications utilizing the libDMET program package:
Zhi-Hao Cui, Tianyu Zhu, Garnet Kin-Lic Chan, Efficient Implementation of Ab Initio Quantum Embedding in Periodic Systems:
Density Matrix Embedding Theory, [J. Chem. Theory Comput. 2020, 16, 1, 119-129.](https://pubs.acs.org/doi/10.1021/acs.jctc.9b00933)Tianyu Zhu, Zhi-Hao Cui, Garnet Kin-Lic Chan, Efficient Formulation of Ab Initio Quantum Embedding in Periodic Systems:
Dynamical Mean-Field Theory, [J. Chem. Theory Comput. 2020, 16, 1, 141-153.](https://pubs.acs.org/doi/abs/10.1021/acs.jctc.9b00934)If you use the quantum chemistry formulation for superconductivity, please cite:
Zhi-Hao Cui, Junjie Yang, Johannes Tölle, Hong-Zhou Ye, Huanchen Zhai, Raehyun Kim, Xing Zhang, Lin Lin, Timothy C. Berkelbach, Garnet Kin-Lic Chan, Ab initio quantum many-body description of superconducting trends in the cuprates, [arXiv preprint arXiv:2306.16561](https://arxiv.org/abs/2306.16561)
Bug reports and feature requests
--------------------------------
Please submit tickets on the issues page.