Recent progress and remaining challenges in post-combustion CO2 capture using metal-organic frameworks (MOFs)
The emissions of carbon dioxide (CO 2) and other greenhouse gases from rapidly growing
industries and households are of great concern. These emissions cause problems like …
industries and households are of great concern. These emissions cause problems like …
Next generation polymers of intrinsic microporosity with tunable moieties for ultrahigh permeation and precise molecular CO2 separation
Polymers of intrinsic microporosity (PIMs) with high free volumes have been synthesized by
incorporating contorted rigid moieties into polymers backbones. Despite their many …
incorporating contorted rigid moieties into polymers backbones. Despite their many …
ANFIS pattern for molecular membranes separation optimization
M Rezakazemi, A Mosavi, S Shirazian - Journal of Molecular Liquids, 2019 - Elsevier
In this work, molecular separation of aqueous-organic was simulated by using combined soft
computing-mechanistic approaches. The considered separation system was a microporous …
computing-mechanistic approaches. The considered separation system was a microporous …
Prediction of CO2 solubility in Ionic liquids for CO2 capture using deep learning models
Ionic liquids (ILs) are highly effective for capturing carbon dioxide (CO2). The prediction of
CO2 solubility in ILs is crucial for optimizing CO2 capture processes. This study investigates …
CO2 solubility in ILs is crucial for optimizing CO2 capture processes. This study investigates …
Data-driven machine learning models for the prediction of hydrogen solubility in aqueous systems of varying salinity: Implications for underground hydrogen storage
Hydrogen is a clean and sustainable renewable energy source with significant potential for
use in energy storage applications because of its high energy density. In particular …
use in energy storage applications because of its high energy density. In particular …
Data-driven model for ternary-blend concrete compressive strength prediction using machine learning approach
Ternary-blend concrete is a complex composite material, and the nonlinearity in its
compressive strength behavior is unquestionable. Entirely many models have been …
compressive strength behavior is unquestionable. Entirely many models have been …
Impact of scale, activation solvents, and aged conditions on gas adsorption properties of UiO-66
This work reports on the potential application of UiO-66 in gas sweetening and its structural
stability against water, air, dimethylformamide (DMF), and chloroform. The UiO-66 …
stability against water, air, dimethylformamide (DMF), and chloroform. The UiO-66 …
A critical review on new and efficient adsorbents for CO2 capture
K Zhang, R Wang - Chemical Engineering Journal, 2024 - Elsevier
Carbon dioxide (CO 2) is the main anthropogenic greenhouse gas that causes global
warming and has a huge impact on the global ecosystem. In order to reduce the impact of …
warming and has a huge impact on the global ecosystem. In order to reduce the impact of …
Application of Artificial Intelligence-based predictive methods in Ionic liquid studies: A review
Comprehensive experimental investigation and accurate predictive models are required to
understand the dynamics in Ionic liquid (IL) properties. Examples of these predictive models …
understand the dynamics in Ionic liquid (IL) properties. Examples of these predictive models …
[HTML][HTML] Machine learning method for simulation of adsorption separation: comparisons of model's performance in predicting equilibrium concentrations
G Yin, FJI Alazzawi, S Mironov, F Reegu… - Arabian Journal of …, 2022 - Elsevier
In this work, we implemented different models for predicting adsorption separation of a dye
from aqueous solution using porous materials. The equilibrium data of solute concentrations …
from aqueous solution using porous materials. The equilibrium data of solute concentrations …