Applications of artificial intelligence in water treatment for optimization and automation of adsorption processes: Recent advances and prospects
G Alam, I Ihsanullah, M Naushad… - Chemical Engineering …, 2022 - Elsevier
Artificial intelligence (AI) has emerged as a powerful tool to resolve real-world problems and
has gained tremendous attention due to its applications in various fields. In recent years, AI …
has gained tremendous attention due to its applications in various fields. In recent years, AI …
Machine learning in materials science
Traditional methods of discovering new materials, such as the empirical trial and error
method and the density functional theory (DFT)‐based method, are unable to keep pace …
method and the density functional theory (DFT)‐based method, are unable to keep pace …
On the comparison of pseudo-first order and pseudo-second order rate laws in the modeling of adsorption kinetics
JP Simonin - Chemical Engineering Journal, 2016 - Elsevier
In most works in the current literature about liquid/solid adsorption kinetics, the respective
abilities of pseudo-first order and pseudo-second kinetics for describing the data are …
abilities of pseudo-first order and pseudo-second kinetics for describing the data are …
Comprehensive review on machine learning methodologies for modeling dye removal processes in wastewater
A wide range of dyes are being disposed in water bodies from several industrial runoff and
the quantity is rapidly increasing over the years. From an environmental safety point of view …
the quantity is rapidly increasing over the years. From an environmental safety point of view …
Modelling dye removal by adsorption onto water treatment residuals using combined response surface methodology-artificial neural network approach
MR Gadekar, MM Ahammed - Journal of environmental management, 2019 - Elsevier
In this study, response surface methodology (RSM)–artificial neural network (ANN)
approach was used to optimise/model disperse dye removal by adsorption using water …
approach was used to optimise/model disperse dye removal by adsorption using water …
Applications of artificial neural networks for adsorption removal of dyes from aqueous solution: a review
AM Ghaedi, A Vafaei - Advances in colloid and interface science, 2017 - Elsevier
Artificial neural networks (ANNs) have been widely applied for the prediction of dye
adsorption during the last decade. In this paper, the applications of ANN methods, namely …
adsorption during the last decade. In this paper, the applications of ANN methods, namely …
[HTML][HTML] Scope of machine learning in materials research—A review
This comprehensive review investigates the multifaceted applications of machine learning in
materials research across six key dimensions, redefining the field's boundaries. It explains …
materials research across six key dimensions, redefining the field's boundaries. It explains …
Modeling of quaternary dyes adsorption onto ZnO–NR–AC artificial neural network: analysis by derivative spectrophotometry
The novel adsorbent ie ZnO–NR–AC was synthesized and used for the rapid removal of the
quaternary dyes from the aqueous solution. The ANN model was used for the optimization …
quaternary dyes from the aqueous solution. The ANN model was used for the optimization …
Mesoporous activated carbons of low-cost agricultural bio-wastes with high adsorption capacity: preparation and artificial neural network modeling of dye removal …
Herein, low-cost mesoporous activated carbons (ACs) with high adsorption capacity were
prepared by various agricultural bio-wastes, including Kiwi peel (KP), Cucumber peel (CP) …
prepared by various agricultural bio-wastes, including Kiwi peel (KP), Cucumber peel (CP) …
Simultaneous ultrasound-assisted ternary adsorption of dyes onto copper-doped zinc sulfide nanoparticles loaded on activated carbon: optimization by response …
The simultaneous and competitive ultrasound-assisted removal of Auramine-O (AO),
Erythrosine (Er) and Methylene Blue (MB) from aqueous solutions were rapidly performed …
Erythrosine (Er) and Methylene Blue (MB) from aqueous solutions were rapidly performed …