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...

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Detalles Bibliográficos
Autores principales: Zhang, Yumeng, Dai, Min, Liu, Ke, Peng, Changsheng, Du, Yufeng, Chang, Quanchao, Ali, Imran, Naz, Iffat, Saroj, Devendra P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Royal Society of Chemistry 2019
Materias:
Chemistry
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

Internet

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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