Shi, X.; Ruan, W.; Hu, J.; Fan, M.; Cao, R.; Wei, X.
Optimizing the Removal of Rhodamine B in Aqueous Solutions by Reduced Graphene Oxide-Supported Nanoscale Zerovalent Iron (nZVI/rGO) Using an Artificial Neural Network-Genetic Algorithm (ANN-GA). Nanomaterials 2017, 7, 134.
https://doi.org/10.3390/nano7060134
AMA Style
Shi X, Ruan W, Hu J, Fan M, Cao R, Wei X.
Optimizing the Removal of Rhodamine B in Aqueous Solutions by Reduced Graphene Oxide-Supported Nanoscale Zerovalent Iron (nZVI/rGO) Using an Artificial Neural Network-Genetic Algorithm (ANN-GA). Nanomaterials. 2017; 7(6):134.
https://doi.org/10.3390/nano7060134
Chicago/Turabian Style
Shi, Xuedan, Wenqian Ruan, Jiwei Hu, Mingyi Fan, Rensheng Cao, and Xionghui Wei.
2017. "Optimizing the Removal of Rhodamine B in Aqueous Solutions by Reduced Graphene Oxide-Supported Nanoscale Zerovalent Iron (nZVI/rGO) Using an Artificial Neural Network-Genetic Algorithm (ANN-GA)" Nanomaterials 7, no. 6: 134.
https://doi.org/10.3390/nano7060134
APA Style
Shi, X., Ruan, W., Hu, J., Fan, M., Cao, R., & Wei, X.
(2017). Optimizing the Removal of Rhodamine B in Aqueous Solutions by Reduced Graphene Oxide-Supported Nanoscale Zerovalent Iron (nZVI/rGO) Using an Artificial Neural Network-Genetic Algorithm (ANN-GA). Nanomaterials, 7(6), 134.
https://doi.org/10.3390/nano7060134