Shim, Eunjae, Tewari, Ambuj, Cernak, Tim, and Zimmerman, Paul M. Machine Learning Strategies for Reaction Development: Toward the Low-Data Limit. Retrieved from https://par.nsf.gov/biblio/10467270. Journal of Chemical Information and Modeling 63.12 Web. doi:10.1021/acs.jcim.3c00577.

Shim, Eunjae, Tewari, Ambuj, Cernak, Tim, & Zimmerman, Paul M. Machine Learning Strategies for Reaction Development: Toward the Low-Data Limit. Journal of Chemical Information and Modeling, 63 (12). Retrieved from https://par.nsf.gov/biblio/10467270. https://doi.org/10.1021/acs.jcim.3c00577

Shim, Eunjae, Tewari, Ambuj, Cernak, Tim, and Zimmerman, Paul M. "Machine Learning Strategies for Reaction Development: Toward the Low-Data Limit". Journal of Chemical Information and Modeling 63 (12). Country unknown/Code not available: ACS. https://doi.org/10.1021/acs.jcim.3c00577. https://par.nsf.gov/biblio/10467270.

@article{osti_10467270,
place = {Country unknown/Code not available}, title = {Machine Learning Strategies for Reaction Development: Toward the Low-Data Limit}, url = {https://par.nsf.gov/biblio/10467270}, DOI = {10.1021/acs.jcim.3c00577}, abstractNote = {}, journal = {Journal of Chemical Information and Modeling}, volume = {63}, number = {12}, publisher = {ACS}, author = {Shim, Eunjae and Tewari, Ambuj and Cernak, Tim and Zimmerman, Paul M.}, }