https://github.com/aamaricci/edipack2.0

A Massively Parallel Exact Diagonalization solver for generic Quantum Impurity problems.
https://github.com/aamaricci/edipack2.0

condensed-matter dmft dynamical-mean-field-theory exact-diagonalization lanczos mpi strongly-correlated-systems

Last synced: 4 days ago
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A Massively Parallel Exact Diagonalization solver for generic Quantum Impurity problems.

• Host: GitHub
• URL: https://github.com/aamaricci/edipack2.0
• Owner: aamaricci
• Created: 2020-11-05T20:55:54.000Z (about 4 years ago)
• Default Branch: master
• Last Pushed: 2024-11-04T11:07:06.000Z (16 days ago)
• Last Synced: 2024-11-04T12:19:24.338Z (16 days ago)
• Topics: condensed-matter, dmft, dynamical-mean-field-theory, exact-diagonalization, lanczos, mpi, strongly-correlated-systems
• Language: Fortran
• Homepage: https://aamaricci.github.io/EDIpack2.0/
• Size: 10.7 MB
• Stars: 0
• Watchers: 6
• Forks: 2
• Open Issues: 3
• Metadata Files:
  • Readme: README.md

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README

        
# EDIpack2.0: Massively parallel Exact Diagonalization for generic Quantum Impurity problems

[![TestSuite](https://img.shields.io/github/actions/workflow/status/aamaricci/EDIpack2.0/PushWorkflow.yml?label=TestSuite&logo=Fortran&style=flat-square)](https://github.com/aamaricci/EDIpack2.0/actions/workflows/PushWorkflow.yml) 

[![api docs](https://img.shields.io/static/v1?label=API&message=documentation&color=734f96&logo=read-the-docs&logoColor=white&style=flat-square)](https://aamaricci.github.io/EDIpack2.0/)

A suitable extension of [EDIpack](https://github.com/aamaricci/EDIpack): a  Lanczos based method 

for the solution of generic Quantum Impurity problems,  exploiting distributed memory MPI parallelisation.

This updated version, aims to solve single-site, multi-orbital models, in either  *normal*, *superconducting* (s-wave) or *Spin-non-conserving* (e.g. with Spin-Orbit Coupling or in-plane magnetization) phases, including electron-phonons coupling. The code works at zero and low temperatures.   

 

See [j.cpc.2021.108261](https://doi.org/10.1016/j.cpc.2021.108261) for further information about the underlying algorithms. Yet, suitable modifications have been developed to address the Superconducting and non-SU(2) channels.  

### Install & Use

*EDIpack2.0* builds and get installed using CMake. Loading into the operative systemisis provided by different methods, including module environment.    

Further informations and a guided proceudre are available in the documentation.

### Documentation

All the informations about the structure of the library and its use, together with the Python API *EDIpy2*, are documented at [aamaricci.github.io/EDIpack2.0/](https://aamaricci.github.io/EDIpack2.0/)  

NOTE: The documentation is currently under construction. 

### Authors

[Adriano Amaricci](https://github.com/aamaricci)  

[Lorenzo Crippa](https://github.com/lcrippa)  

[Samuele Giuli](https://github.com/SamueleGiuli)  

[Gabriele Bellomia](https://github.com/beddalumia)  

[Giacomo Mazza](https://github.com/GiacMazza)  

[Francesco Petocchi](mailto:[email protected])  

[Alberto Scazzola](mailto:[email protected])  

[Massimo Capone](mailto:[email protected])

### Issues

If you encounter bugs or difficulties, please [file an issue](https://github.com/aamaricci/EDIpack2.0/issues/new/choose). For any other communication, please reach out any of the developers.