Cite
Chemistrees: Data-Driven Identification of Reaction Pathways via Machine Learning
MLA
Enrico Riccardi, et al. “Chemistrees: Data-Driven Identification of Reaction Pathways via Machine Learning.” Journal of Chemical Theory and Computation, vol. 17, Sept. 2021, pp. 6193–202. EBSCOhost, widgets.ebscohost.com/prod/customlink/proxify/proxify.php?count=1&encode=0&proxy=&find_1=&replace_1=&target=https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&scope=site&db=edsair&AN=edsair.doi.dedup.....032bfdc8159332a9e4ad5f979fc918b5&authtype=sso&custid=ns315887.
APA
Enrico Riccardi, Christopher D. Daub, & Sander Roet. (2021). Chemistrees: Data-Driven Identification of Reaction Pathways via Machine Learning. Journal of Chemical Theory and Computation, 17, 6193–6202.
Chicago
Enrico Riccardi, Christopher D. Daub, and Sander Roet. 2021. “Chemistrees: Data-Driven Identification of Reaction Pathways via Machine Learning.” Journal of Chemical Theory and Computation 17 (September): 6193–6202. http://widgets.ebscohost.com/prod/customlink/proxify/proxify.php?count=1&encode=0&proxy=&find_1=&replace_1=&target=https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&scope=site&db=edsair&AN=edsair.doi.dedup.....032bfdc8159332a9e4ad5f979fc918b5&authtype=sso&custid=ns315887.