Feedforward Artificial Neural Network-Based Model for Predicting the Removal of Phenolic Compounds from Water by Using Deep Eutectic Solvent-Functionalized CNTs

Feedforward Artificial Neural Network-Based Model for Predicting the Removal of Phenolic Compounds from Water by Using Deep Eutectic Solvent-Functionalized CNTs

<b> </b>In<b> </b>the recent decade, deep eutectic solvents (DESs) have occupied a strategic place in green chemistry research. This paper discusses the application of DESs as functionalization agents for multi-walled carbon nanotubes (CNTs) to produce novel adsorbents for th...

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Bibliographic Details
Main Authors: Rusul Khaleel Ibrahim, Seef Saadi Fiyadh, Mohammed Abdulhakim AlSaadi, Lai Sai Hin, Nuruol Syuhadaa Mohd, Shaliza Ibrahim, Haitham Abdulmohsin Afan, Chow Ming Fai, Ali Najah Ahmed, Ahmed Elshafie
Format: Article
Language:English
Published: MDPI AG 2020-03-01
Series:Molecules
Subjects:
water quality
deep eutectic solvents
carbon nanotubes
feedforward back propagation neural network
adsorption
Online Access:https://www.mdpi.com/1420-3049/25/7/1511

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