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 editionPartee, 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 - HarvardPartee, 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.