Nguyen, Hao A., Dou, Florence Y., Park, Nayon, Wu, Shenwei, Sarsito, Harrison, Diakubama, Benedicte, Larson, Helen, Nishiwaki, Emily, Homer, Micaela, Cash, Melanie, and Cossairt, Brandi M. Predicting Indium Phosphide Quantum Dot Properties from Synthetic Procedures Using Machine Learning. Retrieved from https://par.nsf.gov/biblio/10354663. Chemistry of Materials 34.14 Web. doi:10.1021/acs.chemmater.2c00640.

Nguyen, Hao A., Dou, Florence Y., Park, Nayon, Wu, Shenwei, Sarsito, Harrison, Diakubama, Benedicte, Larson, Helen, Nishiwaki, Emily, Homer, Micaela, Cash, Melanie, & Cossairt, Brandi M. Predicting Indium Phosphide Quantum Dot Properties from Synthetic Procedures Using Machine Learning. Chemistry of Materials, 34 (14). Retrieved from https://par.nsf.gov/biblio/10354663. https://doi.org/10.1021/acs.chemmater.2c00640

Nguyen, Hao A., Dou, Florence Y., Park, Nayon, Wu, Shenwei, Sarsito, Harrison, Diakubama, Benedicte, Larson, Helen, Nishiwaki, Emily, Homer, Micaela, Cash, Melanie, and Cossairt, Brandi M. "Predicting Indium Phosphide Quantum Dot Properties from Synthetic Procedures Using Machine Learning". Chemistry of Materials 34 (14). Country unknown/Code not available. https://doi.org/10.1021/acs.chemmater.2c00640. https://par.nsf.gov/biblio/10354663.

@article{osti_10354663,
place = {Country unknown/Code not available}, title = {Predicting Indium Phosphide Quantum Dot Properties from Synthetic Procedures Using Machine Learning}, url = {https://par.nsf.gov/biblio/10354663}, DOI = {10.1021/acs.chemmater.2c00640}, abstractNote = {}, journal = {Chemistry of Materials}, volume = {34}, number = {14}, author = {Nguyen, Hao A. and Dou, Florence Y. and Park, Nayon and Wu, Shenwei and Sarsito, Harrison and Diakubama, Benedicte and Larson, Helen and Nishiwaki, Emily and Homer, Micaela and Cash, Melanie and Cossairt, Brandi M.}, }