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10 changes: 10 additions & 0 deletions source/_sources/00installation/00installation.rst
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Installation of packages
======================================================

The followings are very simple tutorials for installing TurboRVB, TurboGenius, and TurboWorkflows.
The details of the installation options are written in each GitHub repository.

If you have any problem on the installation, please visit `TurboRVB Discussions <https://github.com/sissaschool/turborvb/discussions>`__, `TurboGenius Discussions <https://github.com/kousuke-nakano/turbogenius/discussions>`__, or `TurboWorkflows Discussions <https://github.com/kousuke-nakano/turboworkflows/discussions>`__, and please post your problem.

TurboRVB installation
--------------------------------------------

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% turbogenius --help
If you see an output from the helper, TurboRVB and TurboGenius have been successfully compiled on your machine!

TurboWorkflows installation
--------------------------------------------

WIP.
12 changes: 6 additions & 6 deletions source/_sources/01turborvb_manual/01nutshell.rst
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Expand Up @@ -19,10 +19,10 @@ TurboRVB sets itself apart from other QMC codes through several unique features:

When you publish a paper using TurboRVB, please cite the following paper(s).

- `TurboRVB: a many-body toolkit for ab initio electronic simulations by quantum Monte Carlo <https://doi.org/10.1063/5.0005037>`_
- | `TurboRVB: a many-body toolkit for ab initio electronic simulations by quantum Monte Carlo <https://doi.org/10.1063/5.0005037>`_
| K. Nakano, C. Attaccalite, M. Barborini, L. Capriotti, M. Casula, E. Coccia, M. Dagrada, Y. Luo, G. Mazzola, A. Zen, and S. Sorella,
| *J. Chem. Phys.* 152, 204121 (2020)
| K. Nakano, C. Attaccalite, M. Barborini, L. Capriotti, M. Casula, E. Coccia, M. Dagrada, Y. Luo, G. Mazzola, A. Zen, and S. Sorella, *J. Chem. Phys.* 152, 204121 (2020)
- TurboGenius: Python suite for high-throughput calculations of the ab-initio quantum Monte Carlo methods

| K. Nakano, O. Kohulak, A. Raghav, S. Sorella, M. Casula, *in preparation* (2023)
- | `TurboGenius: Python suite for high-throughput calculations of ab initio quantum Monte Carlo methods <https://doi.org/10.1063/5.0179003>`_
| K. Nakano, O. Kohulák, A. Raghav, M. Casula, and S. Sorella
| *J. Chem. Phys.* 159, 224801 (2023)
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