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Appraisal of Cu(ii) adsorption by graphene oxide and its modelling via artificial neural network
Graphene oxide (GO), as an emerging material, exhibits extraordinary performance in terms of water treatment. Adsorption is a process that is influenced by multiple factors and is difficult to simulate by traditional statistical models. Artificial neural networks (ANNs) can establish highly accurate...
Autores principales: | Zhang, Yumeng, Dai, Min, Liu, Ke, Peng, Changsheng, Du, Yufeng, Chang, Quanchao, Ali, Imran, Naz, Iffat, Saroj, Devendra P. |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Royal Society of Chemistry
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9072095/ https://www.ncbi.nlm.nih.gov/pubmed/35530206 http://dx.doi.org/10.1039/c9ra06079k |
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