Williams, Destiny F., Rahimi, Nick, Smay, James E., and Hemmati, Shohreh. Optimizing silver nanowire synthesis: machine learning improves and predicts yield for a polyol, millifluidic flow reactor. Retrieved from https://par.nsf.gov/biblio/10481185. Applied Nanoscience 13.9 Web. doi:10.1007/s13204-023-02959-3.

Williams, Destiny F., Rahimi, Nick, Smay, James E., & Hemmati, Shohreh. Optimizing silver nanowire synthesis: machine learning improves and predicts yield for a polyol, millifluidic flow reactor. Applied Nanoscience, 13 (9). Retrieved from https://par.nsf.gov/biblio/10481185. https://doi.org/10.1007/s13204-023-02959-3

Williams, Destiny F., Rahimi, Nick, Smay, James E., and Hemmati, Shohreh. "Optimizing silver nanowire synthesis: machine learning improves and predicts yield for a polyol, millifluidic flow reactor". Applied Nanoscience 13 (9). Country unknown/Code not available: Springer. https://doi.org/10.1007/s13204-023-02959-3. https://par.nsf.gov/biblio/10481185.

@article{osti_10481185,
place = {Country unknown/Code not available}, title = {Optimizing silver nanowire synthesis: machine learning improves and predicts yield for a polyol, millifluidic flow reactor}, url = {https://par.nsf.gov/biblio/10481185}, DOI = {10.1007/s13204-023-02959-3}, abstractNote = {}, journal = {Applied Nanoscience}, volume = {13}, number = {9}, publisher = {Springer}, author = {Williams, Destiny F. and Rahimi, Nick and Smay, James E. and Hemmati, Shohreh}, }