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Modeling of Malachite Green Removal from Aqueous Solutions by Nanoscale Zerovalent Zinc Using Artificial Neural Network.
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- Applied Sciences (2076-3417), 2018, v. 8, n. 1, p. 3, doi. 10.3390/app8010003
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- Article
Removal of Crystal Violet by Using Reduced-Graphene-Oxide-Supported Bimetallic Fe/Ni Nanoparticles (rGO/Fe/Ni): Application of Artificial Intelligence Modeling for the Optimization Process.
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- Materials (1996-1944), 2018, v. 11, n. 5, p. 865, doi. 10.3390/ma11050865
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- Article
Artificial Intelligence Based Optimization for the Se(IV) Removal from Aqueous Solution by Reduced Graphene Oxide-Supported Nanoscale Zero-Valent Iron Composites.
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- Materials (1996-1944), 2018, v. 11, n. 3, p. 428, doi. 10.3390/ma11030428
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- Article
Optimizing Low-Concentration Mercury Removal from Aqueous Solutions by Reduced Graphene Oxide-Supported Fe<sub>3</sub>O<sub>4</sub> Composites with the Aid of an Artificial Neural Network and Genetic Algorithm.
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- Materials (1996-1944), 2017, v. 10, n. 11, p. 1279, doi. 10.3390/ma10111279
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- Article
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.
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- Materials (1996-1944), 2017, v. 10, n. 5, p. 544, doi. 10.3390/ma10050544
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- Article
Synthesis and Characterization of Reduced Graphene Oxide-Supported Nanoscale Zero-Valent Iron (nZVI/rGO) Composites Used for Pb(II) Removal.
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- Materials (1996-1944), 2016, v. 9, n. 8, p. 687, doi. 10.3390/ma9080687
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- Article
Heavy Metal Pollution and Ecological Assessment around the Jinsha Coal-Fired Power Plant (China).
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- International Journal of Environmental Research & Public Health, 2017, v. 14, n. 12, p. 1589, doi. 10.3390/ijerph14121589
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- Article
Graphene-supported iron-based composites: a review of applications to wastewater treatment.
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- Desalination & Water Treatment, 2020, v. 181, p. 300, doi. 10.5004/dwt.2020.25129
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- Article
Addendum: Shi, X.D.; Ruan, W.Q.; Hu, J.W.; Fan, M.Y.; Cao, R.S.; Wei, X.H. 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.
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- 2017
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- Correction Notice
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).
- Published in:
- Nanomaterials (2079-4991), 2017, v. 7, n. 6, p. 134, doi. 10.3390/nano7060134
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- Publication type:
- Article