Rensheng Cao

Modeling of Malachite Green Removal from Aqueous Solutions by Nanoscale Zerovalent Zinc Using Artificial Neural Network

Yu Hou, Mingyi Fan, Wenqian Ruan, 2017 .

A review on experimental design for pollutants removal in water treatment with the aid of artificial intelligence.

Mingyi Fan, Wenqian Ruan, Jiwei Hu, 2018, Chemosphere.

Synthesis and Characterization of Reduced Graphene Oxide-Supported Nanoscale Zero-Valent Iron (nZVI/rGO) Composites Used for Pb(II) Removal

Mingyi Fan, Wenqian Ruan, Jiwei Hu, 2016, Materials.

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

Mingyi Fan, Wenqian Ruan, Jiwei Hu, 2017, Materials.

Modeling and prediction of copper removal from aqueous solutions by nZVI/rGO magnetic nanocomposites using ANN-GA and ANN-PSO

Mingyi Fan, Jiwei Hu, Rensheng Cao, 2017, Scientific Reports.

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)

Mingyi Fan, Wenqian Ruan, Jiwei Hu, 2017, Nanomaterials.

Artificial Neural Network Modeling and Genetic Algorithm Optimization for Cadmium Removal from Aqueous Solutions by Reduced Graphene Oxide-Supported Nanoscale Zero-Valent Iron (nZVI/rGO) Composites

Mingyi Fan, Wenqian Ruan, Jiwei Hu, 2017, Materials.