LINDOY, Lachlan P., RODRIGO-ALBERT, Daniel, RATH, Yannic und RUNGGER, Ivan, 2025. py TTN: An open-source toolbox for open and closed system quantum dynamics simulations using tree tensor networks. Journal of Chemical Physics. 28 November 2025. Vol. 163, no. 20, p. 1-32. DOI 10.1063/5.0301775.
Elsevier - Harvard (with titles)Lindoy, L.P., Rodrigo-Albert, D., Rath, Y., Rungger, I., 2025. py TTN: An open-source toolbox for open and closed system quantum dynamics simulations using tree tensor networks. Journal of Chemical Physics 163, 1-32. https://doi.org/10.1063/5.0301775
American Psychological Association 7th editionLindoy, L. P., Rodrigo-Albert, D., Rath, Y., & Rungger, I. (2025). py TTN: An open-source toolbox for open and closed system quantum dynamics simulations using tree tensor networks. Journal of Chemical Physics, 163(20), 1-32. https://doi.org/10.1063/5.0301775
Springer - Basic (author-date)Lindoy LP, Rodrigo-Albert D, Rath Y, Rungger I (2025) py TTN: An open-source toolbox for open and closed system quantum dynamics simulations using tree tensor networks.. Journal of Chemical Physics 163:1-32. https://doi.org/10.1063/5.0301775
Juristische Zitierweise (Stüber) (Deutsch)Lindoy, Lachlan P./ Rodrigo-Albert, Daniel/ Rath, Yannic/ Rungger, Ivan, py TTN: An open-source toolbox for open and closed system quantum dynamics simulations using tree tensor networks., Journal of Chemical Physics 2025, 1-32.