[PDF][PDF] Experimental and neural network modeling of micellar enhanced ultrafiltration for arsenic removal from aqueous solution

M Yaqub, SH Lee - Environmental Engineering Research, 2021 - eeer.org
modeling techniques for As removal from aqueous solution … RE of MEUF process from
aqueous solution. The experimental … feed solution. The aim of this study was to propose the best …

Catalysis by metallic nanoparticles in aqueous solution: model reactions

P Herves, M Pérez-Lorenzo, LM Liz-Marzán… - Chemical Society …, 2012 - pubs.rsc.org
… this system is a useful model for the study of redox catalysis in aqueous solution. The main
… a thermosensitive network extending between R 1 and R 2 . If R 1 = R 0 , this model can be …

Modeling and optimization of tartaric acid reactive extraction from aqueous solutions: A comparison between response surface methodology and artificial neural …

N Marchitan, C Cojocaru, A Mereuta, G Duca… - Separation and …, 2010 - Elsevier
… Reactive extraction of tartaric acid from aqueous solution … in aqueous phase C AT (g/L), pH
of aqueous solution and amine … Both methodologies have been compared for their modeling

Adsorption of a cationic dye from aqueous solution using Turkish lignite: kinetic, isotherm, thermodynamic studies and neural network modeling

A Hassani, F Vafaei, S Karaca, AR Khataee - Journal of Industrial and …, 2014 - Elsevier
… An artificial neural network was used to model the adsorption process. BET, SEM and FT-IR …
The rate of adsorption was shown the best fit with the pseudo-second order model. The …

Adsorption of Amido Black 10B from aqueous solution using polyaniline/SiO2 nanocomposite: Experimental investigation and artificial neural network modeling

M Tanzifi, MT Yaraki, AD Kiadehi, SH Hosseini… - Journal of colloid and …, 2018 - Elsevier
aqueous solution. The effect of different variables, such as adsorption time, the mass of
adsorbent, solution … also was optimized by an Artificial Neural Network (ANN) method. Lagergren, …

Partial least squares and artificial neural networks modeling for predicting chlorophenol removal from aqueous solution

KP Singh, P Ojha, A Malik, G Jain - Chemometrics and Intelligent …, 2009 - Elsevier
aqueous solutions using the two different modeling approaches. On the basis of the batch
adsorption experiments, we applied both the PLS and the ANN models to … by the two modeling

Nickel removal from aqueous solutions by alginate-based composite beads: central composite design and artificial neural network modeling

AA Oladipo, M Gazi - Journal of Water Process Engineering, 2015 - Elsevier
… The objectives of the present study were to examine the adsorptive potential of AB for nickel
removal from aqueous solutions in batch and column modes, and the reuse feasibility of …

Multi-scale approach for modeling stability, aggregation, and network formation of nanoparticles suspended in aqueous solutions

A Cardellini, M Alberghini, AG Rajan, RP Misra… - Nanoscale, 2019 - pubs.rsc.org
… multi-scale model to describe the aggregation, self-assembly, and network formation of
nanoparticles in aqueous solutions. Specifically, we introduce a modeling tool where molecular …

Hydrophobic effects and modeling of biophysical aqueous solution interfaces

LR Pratt, A Pohorille - Chemical Reviews, 2002 - ACS Publications
… nature of hydrophobic effects and aqueous solution interfaces. His other research activities
are devoted to computational modeling of genetic and regulatory networks, the mechanism of …

Removal of sarafloxacin from aqueous solution by a magnetized metal-organic framework; Artificial neural network modeling

A Samadi-Maybodi, M Nikou - Polyhedron, 2020 - Elsevier
… The Langmuir isotherm model (type II) was more consistency in the … network (ANN) as a
predictive model was applied to predicting the SRF removal efficiency from aqueous solution. …