Chemical vapor deposition was used to produce multi-walled carbon nanotubes (MWCNTs),
which were modified by Fe–Ni/AC catalysts to enhance CO2 adsorption. In this study, a new …

Flue gas desulfurization (FGD) is a critical process for reducing sulfur dioxide (SO2)
emissions from industrial sources, particularly power plants. This research uses calcium …

The process of capturing and reducing carbon dioxide (CO 2) emissions through chemical
absorption is widely acknowledged as the most effective technique, especially in dealing …

With the help of machine-learning algorithms, data-driven models have become increasingly
capable of predicting CO 2 solubility. As part of this study, two machine learning approaches …

In this research, halloysite nanotube was studied as a natural adsorbent for CO 2 capture.
The sorbents were prepared by the impregnation of several amounts of …

The study examined mass transfer coefficients in a structured CO2 absorption column using
machine learning (ML) and response surface methodology (RSM). Three correlations for the …

In this study, artificial neural networks (ANN) and response surface methodology (RSM)
were used for the modeling and optimization of CO 2 adsorption in polyethylenimine (PEI) …

Abstract In this study, Response Surface Methodology (RSM) and Artificial Neural Networks
(ANN) were developed to estimate the equilibrium solubility and partial pressure of CO2 in …

The polymerization reaction is the core part of the polymerization process, where the catalyst
has an important influence on the polymerization products. Catalyst activity, an essential …

Effective resource allocation in the agri‐food sector is essential in mitigating environmental
impacts and moving toward circular food supply chains. The potential of integrating life cycle …