Raza, Akber, Bardhan, Sharmistha, Xu, Lihua, Yamijala, Sharma S., Lian, Chao, Kwon, Hyuna, and Wong, Bryan M. A Machine Learning Approach for Predicting Defluorination of Per- and Polyfluoroalkyl Substances (PFAS) for Their Efficient Treatment and Removal. Retrieved from https://par.nsf.gov/biblio/10124340. Environmental Science & Technology Letters 6.10 Web. doi:10.1021/acs.estlett.9b00476.

Raza, Akber, Bardhan, Sharmistha, Xu, Lihua, Yamijala, Sharma S., Lian, Chao, Kwon, Hyuna, & Wong, Bryan M. A Machine Learning Approach for Predicting Defluorination of Per- and Polyfluoroalkyl Substances (PFAS) for Their Efficient Treatment and Removal. Environmental Science & Technology Letters, 6 (10). Retrieved from https://par.nsf.gov/biblio/10124340. https://doi.org/10.1021/acs.estlett.9b00476

Raza, Akber, Bardhan, Sharmistha, Xu, Lihua, Yamijala, Sharma S., Lian, Chao, Kwon, Hyuna, and Wong, Bryan M. "A Machine Learning Approach for Predicting Defluorination of Per- and Polyfluoroalkyl Substances (PFAS) for Their Efficient Treatment and Removal". Environmental Science & Technology Letters 6 (10). Country unknown/Code not available. https://doi.org/10.1021/acs.estlett.9b00476. https://par.nsf.gov/biblio/10124340.

@article{osti_10124340,
place = {Country unknown/Code not available}, title = {A Machine Learning Approach for Predicting Defluorination of Per- and Polyfluoroalkyl Substances (PFAS) for Their Efficient Treatment and Removal}, url = {https://par.nsf.gov/biblio/10124340}, DOI = {10.1021/acs.estlett.9b00476}, abstractNote = {}, journal = {Environmental Science & Technology Letters}, volume = {6}, number = {10}, author = {Raza, Akber and Bardhan, Sharmistha and Xu, Lihua and Yamijala, Sharma S. and Lian, Chao and Kwon, Hyuna and Wong, Bryan M.}, }