Source codes

When you publish a paper using our code(s), please cite corresponding paper(s).

• TurboRVB: a many-body toolkit for ab initio electronic simulations by quantum Monte Carlo

  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)
• Turbo-Genius and TurboWorkflows: Python suites implementing workflows of the ab-initio quantum Monte Carlo calculations

  K. Nakano*, et al.

  In preparation (2023).
• TurboML: High-pressure hydrogen by machine learning and quantum Monte Carlo

  A. Tirelli*, G. Tenti, K. Nakano, and S. Sorella,

  Phys. Rev. B 106, L041105 (2022)

TurboRVB

TurboRVB is not distributed to the public at present. If you want to use TurboRVB, please contact Michele Casula [michele.casula@upmc.fr] and Kosuke Nakano [nkosuke@sissa.it]. TurboRVB will be open-source in July 2023.

TurboGenius

TurboGenius is not distributed to the public at present. If you want to use TurboGenius, please contact Kosuke Nakano [nkosuke@sissa.it]. You can request a permission from [https://github.com/kousuke-nakano/turbogenius]. TurboGenius will also be open-source in July 2023.

TurboWorkflows

TurboWorkflows is not distributed to the public at present. If you want to use TurboGenius, please contact Kosuke Nakano [nkosuke@sissa.it]. You can request a permission from [https://github.com/kousuke-nakano/turboworkflows]. TurboGenius will also be open-source in July 2023.

TurboML

TurboML is not distributed to the public at present. If you want to use TurboML, please contact Andrea Tirelli [atirelli@sissa.it] or Giacomo Tenti [giacomo.tenti@sissa.it]. TurboML will also be open-source in the near future.

User manuals and tutorials

User manuals are included in the distributions. Tutorials are available from [https://github.com/kousuke-nakano/turbotutorials].