Cao, R.; Fan, M.; Hu, J.; Ruan, W.; Xiong, K.; Wei, X.
Optimizing Low-Concentration Mercury Removal from Aqueous Solutions by Reduced Graphene Oxide-Supported Fe3O4 Composites with the Aid of an Artificial Neural Network and Genetic Algorithm. Materials 2017, 10, 1279.
https://doi.org/10.3390/ma10111279
AMA Style
Cao R, Fan M, Hu J, Ruan W, Xiong K, Wei X.
Optimizing Low-Concentration Mercury Removal from Aqueous Solutions by Reduced Graphene Oxide-Supported Fe3O4 Composites with the Aid of an Artificial Neural Network and Genetic Algorithm. Materials. 2017; 10(11):1279.
https://doi.org/10.3390/ma10111279
Chicago/Turabian Style
Cao, Rensheng, Mingyi Fan, Jiwei Hu, Wenqian Ruan, Kangning Xiong, and Xionghui Wei.
2017. "Optimizing Low-Concentration Mercury Removal from Aqueous Solutions by Reduced Graphene Oxide-Supported Fe3O4 Composites with the Aid of an Artificial Neural Network and Genetic Algorithm" Materials 10, no. 11: 1279.
https://doi.org/10.3390/ma10111279
APA Style
Cao, R., Fan, M., Hu, J., Ruan, W., Xiong, K., & Wei, X.
(2017). Optimizing Low-Concentration Mercury Removal from Aqueous Solutions by Reduced Graphene Oxide-Supported Fe3O4 Composites with the Aid of an Artificial Neural Network and Genetic Algorithm. Materials, 10(11), 1279.
https://doi.org/10.3390/ma10111279