Vicentini, F., Hofmann, D., Szabó, A., Wu, D., Roth, C., Giuliani, C., Pescia, G., Nys, J., Vargas-Calderón, V., Astrakhantsev, N., & Carleo, G. (2022). Net Ket 3: Machine Learning Toolbox for Many-Body Quantum Systems. Sci Post Physics Codebases.
ISO-690 (author-date, English)VICENTINI, F., HOFMANN, D., SZABÓ, A., WU, D., ROTH, C., GIULIANI, C., PESCIA, G., NYS, J., VARGAS-CALDERÓN, V., ASTRAKHANTSEV, N. und CARLEO, G., 2022. Net Ket 3: Machine Learning Toolbox for Many-Body Quantum Systems. Sci Post Physics Codebases. 1 Januar 2022.
Modern Language Association 9th editionVicentini, F., D. Hofmann, A. Szabó, D. Wu, C. Roth, C. Giuliani, G. Pescia, J. Nys, V. Vargas-Calderón, N. Astrakhantsev, und G. Carleo. „Net Ket 3: Machine Learning Toolbox for Many-Body Quantum Systems“. Sci Post Physics Codebases, Januar 2022.
Mohr Siebeck - Recht (Deutsch - Österreich)Vicentini, F./Hofmann, D./Szabó, A./Wu, D./Roth, C./Giuliani, C. u. a.: Net Ket 3: Machine Learning Toolbox for Many-Body Quantum Systems, Sci Post Physics Codebases 2022,
Emerald - HarvardVicentini, F., Hofmann, D., Szabó, A., Wu, D., Roth, C., Giuliani, C., Pescia, G., Nys, J., Vargas-Calderón, V., Astrakhantsev, N. und Carleo, G. (2022), „Net Ket 3: Machine Learning Toolbox for Many-Body Quantum Systems“, Sci Post Physics Codebases.