MARTINO, Simone, BECCHI, Matteo, TARZIA, Andrew, RAPETTI, Daniele, LIONELLO, Chiara und PAVAN, Giovanni M., 2026. dynsight: An open Python platform for simulation and experimental trajectory data analysis. Journal of Chemical Physics. 28 Februar 2026. Vol. 164, no. 8, p. 1-9. DOI 10.1063/5.0309974.
Elsevier - Harvard (with titles)Martino, S., Becchi, M., Tarzia, A., Rapetti, D., Lionello, C., Pavan, G.M., 2026. dynsight: An open Python platform for simulation and experimental trajectory data analysis. Journal of Chemical Physics 164, 1-9. https://doi.org/10.1063/5.0309974
American Psychological Association 7th editionMartino, S., Becchi, M., Tarzia, A., Rapetti, D., Lionello, C., & Pavan, G. M. (2026). dynsight: An open Python platform for simulation and experimental trajectory data analysis. Journal of Chemical Physics, 164(8), 1-9. https://doi.org/10.1063/5.0309974
Springer - Basic (author-date)Martino S, Becchi M, Tarzia A, Rapetti D, Lionello C, Pavan GM (2026) dynsight: An open Python platform for simulation and experimental trajectory data analysis.. Journal of Chemical Physics 164:1-9. https://doi.org/10.1063/5.0309974
Juristische Zitierweise (Stüber) (Deutsch)Martino, Simone/ Becchi, Matteo/ Tarzia, Andrew/ Rapetti, Daniele/ Lionello, Chiara/ Pavan, Giovanni M., dynsight: An open Python platform for simulation and experimental trajectory data analysis., Journal of Chemical Physics 2026, 1-9.