VOCs absorption from gas streams using deep eutectic solvents–a review

P Makoś-Chełstowska - Journal of Hazardous Materials, 2023 - Elsevier
Volatile organic compounds (VOCs) are one of the most severe atmospheric pollutants.
They are mainly emitted into the atmosphere from anthropogenic sources such as …

A review of ionic liquids and deep eutectic solvents design for CO2 capture with machine learning

J Sun, Y Sato, Y Sakai, Y Kansha - Journal of Cleaner Production, 2023 - Elsevier
Ionic liquids (ILs) and deep eutectic solvents (DESs) are regarded as the next generation
solvents for carbon capture which consist of cations and anions. Thousands of combinations …

Data-driven machine learning models for the prediction of hydrogen solubility in aqueous systems of varying salinity: Implications for underground hydrogen storage

HV Thanh, H Zhang, Z Dai, T Zhang… - International Journal of …, 2024 - Elsevier
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 …

Machine learning implemented exploration of the adsorption mechanism of carbon dioxide onto porous carbons

S Namdeo, VC Srivastava, P Mohanty - Journal of Colloid and Interface …, 2023 - Elsevier
Adsorption of CO 2 on porous carbons has been identified as one of the promising methods
for carbon capture, which is essential for meeting the sustainable developmental goal (SDG) …

Big data for a deep problem: Understanding the formation of NADES through comprehensive chemical analysis and RDKit

LB Ayres, G Weavil, M Alhoubani, BGS Guinati… - Journal of Molecular …, 2023 - Elsevier
This manuscript offers an in-depth analysis of Natural Deep Eutectic Solvents (NADES)
reported over the past decade, derived from an expansive database encompassing 1334 …

Experimental investigation of novel ternary amine-based deep eutectic solvents for CO2 capture

HK Abdrabou, I AlNashef, M Abu Zahra, S Mokraoui… - Plos one, 2023 - journals.plos.org
This study investigates the effect of using water as a low-viscosity component in ternary
amine-based deep eutectic solvents (DESs) on the physicochemical properties, thermal …

Modeling of hydrogen separation through Pd membrane with vacuum pressure using Taguchi and machine learning methods

WH Chen, DR Wu, MH Chang, S Rajendran… - International Journal of …, 2024 - Elsevier
The performance of hydrogen purification using palladium (Pd) membrane is analyzed by
Taguchi and machine learning (ML) methods. Three system factors are considered: the feed …

Performance evaluation of advanced machine learning methodologies in simulating hydrogen chloride (HCl) absorption by deep eutectic solvents

L Liao, Z Sofer, P Li, E Kovalska - Journal of Environmental Chemical …, 2024 - Elsevier
This work aims to construct the physical-based machine learning (ML) approach for
estimating the hydrogen chloride (HCl) solubility in eleven different deep eutectic solvents …

Advances in CO2 Absorption by Deep Eutectic Solvents

B Wang, W Zhang, F Lv, Y Dai, S Ren… - Journal of Chemical & …, 2024 - ACS Publications
With global warming, more and more environmental problems have begun to appear, and
people have gradually come to realize that the reckless emission of greenhouse gases will …

Unveiling CO2 capture in tailorable green neoteric solvents: An ensemble learning approach informed by quantum chemistry

R Soleimani, AHS Dehaghani - Journal of Environmental Management, 2024 - Elsevier
In the relentless battle against the impending climate crisis, deep eutectic solvents (DESs)
have emerged as beacons of hope in the realm of green chemistry, igniting a resurgence of …