American Psychological Association 6th edition

Partee, S., Ellis, M., Rigazzi, A., Shao, A. E., Bachman, S., Marques, G., & Robbins, B. (2022). Using Machine Learning at scale in numerical simulations with Smart Sim: An application to ocean climate modeling. Journal of Computational Science, 62, N.PAG-0. https://doi.org/10.1016/j.jocs.2022.101707

ISO-690 (author-date, English)

PARTEE, Sam, ELLIS, Matthew, RIGAZZI, Alessandro, SHAO, Andrew E., BACHMAN, Scott, MARQUES, Gustavo und ROBBINS, Benjamin, 2022. Using Machine Learning at scale in numerical simulations with Smart Sim: An application to ocean climate modeling. Journal of Computational Science. 1 Juli 2022. Vol. 62, , p. N.PAG-0. DOI 10.1016/j.jocs.2022.101707.

Modern Language Association 9th edition

Partee, S., M. Ellis, A. Rigazzi, A. E. Shao, S. Bachman, G. Marques, und B. Robbins. „Using Machine Learning at Scale in Numerical Simulations With Smart Sim: An Application to Ocean Climate Modeling.“. Journal of Computational Science, Bd. 62, Juli 2022, S. N.PAG-0, https://doi.org/10.1016/j.jocs.2022.101707.

Mohr Siebeck - Recht (Deutsch - Österreich)

Partee, Sam/Ellis, Matthew/Rigazzi, Alessandro/Shao, Andrew E./Bachman, Scott/Marques, Gustavo u. a.: Using Machine Learning at scale in numerical simulations with Smart Sim: An application to ocean climate modeling., Journal of Computational Science 2022, N.PAG-0.

Emerald - Harvard

Partee, S., Ellis, M., Rigazzi, A., Shao, A.E., Bachman, S., Marques, G. und Robbins, B. (2022), „Using Machine Learning at scale in numerical simulations with Smart Sim: An application to ocean climate modeling.“, Journal of Computational Science, Vol. 62, S. N.PAG-0.

Achtung: Diese Zitate sind unter Umständen nicht zu 100% korrekt.