Global warming issue, which increasingly aggravates over time, necessitates the carbon
capture and storage (CCS) technology for its efficient mitigation. Among the major CCS …

With an emphasis on solid waste-based construction materials, this study seeks to provide
an in-depth analysis of current advancements in CO 2 curing processes for building …

In this work, adsorption and reduction of CO 2 by carbon molecular sieves (CMS) was
modeled using response surface methodology (RSM) and artificial neuron networks (ANNs) …

Control and prediction of the carbonation depth in reinforced concrete structures has great
relevance for construction industry, since the carbonation process is directly related to the …

This research focuses on modeling CO2 absorption into alkanolamine solvents using
multilayer perceptron (MLP), radial basis function network (RBF), Support Vector Machine …

In this work, new artificial neural network (ANN) models were developed and correlated with
the CO2 equilibrium solubility in three new tertiary amines of 1-dimethyl-amino-2-propanol …

In this study, carbon dioxide (CO 2) solubility in 20 different ionic liquids (ILs) belonging to
various chemical families was estimated across a broad range of pressures (0.0098–72.24 …

The rising proportion of anthropogenic CO 2 and its several adverse effects in the
atmosphere through global warming has become an issue of widespread attention to find …

Carbon dioxide (CO 2) considerably contributes to the greenhouse effects and
consequently, to the global warming. Thus, reduction of CO 2 emissions/concentration in the …

The study of the frosting behavior of CO2 in the binary CH4‐CO2 is very important for energy
minimization and for the smooth operation of the cryogenic purification process for natural …