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: A Python suite 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 an open-source project. The source code is available from the GitHub repository.

TurboGenius

TurboGenius is an open-source project. The source code is available from the GitHub repository.

TurboWorkflows

TurboWorkflows is an open-source project. The source code is available from the GitHub repository.

TurboML

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

Tutorials

Tutorials are available from the GitHub Pages.