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 …

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 …

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 …

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 …

In this study, response surface methodology (RSM)–artificial neural network (ANN)
approach was used to optimise/model disperse dye removal by adsorption using water …

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 …

This comprehensive review investigates the multifaceted applications of machine learning in
materials research across six key dimensions, redefining the field's boundaries. It explains …

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 …

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) …

The simultaneous and competitive ultrasound-assisted removal of Auramine-O (AO),
Erythrosine (Er) and Methylene Blue (MB) from aqueous solutions were rapidly performed …