Deep eutectic solvents as a versatile platform toward CO 2 capture and utilization
J Ruan, L Chen, Z Qi - Green Chemistry, 2023 - pubs.rsc.org
Deep eutectic solvents (DESs) as an emerging class of green solvents with flexible
designability have attracted remarkable attention in efficient CO2 capture and utilization due …
designability have attracted remarkable attention in efficient CO2 capture and utilization due …
Advances of Ionic Liquids and Deep Eutectic Solvents in Green Processes of Biomass‐Derived 5‐Hydroxymethylfurfural
L Chen, Y **ong, H Qin, Z Qi - ChemSusChem, 2022 - Wiley Online Library
Hydroxymethylfurfural (HMF) is identified as an important bio‐based platform chemical to
bridge petroleum‐based and biomass‐based resources. It can be obtained through …
bridge petroleum‐based and biomass‐based resources. It can be obtained through …
Machine learning approach to map the thermal conductivity of over 2,000 neoteric solvents for green energy storage applications
Interest in green neoteric solvents, such as ionic liquids (ILs) and deep eutectic solvents
(DESs), has increased dramatically in recent years due to their highly tunable properties …
(DESs), has increased dramatically in recent years due to their highly tunable properties …
Predicting the CO2 Capture Capability of Deep Eutectic Solvents and Screening over 1000 of their Combinations Using Machine Learning
Deep eutectic solvents (DESs) are a new class of environmentally friendly solvents that have
attracted the attention of many researchers. Since DESs have several practical applications …
attracted the attention of many researchers. Since DESs have several practical applications …
The role of natural resources in the management of environmental sustainability: Machine learning approach
This study examines the ability of Asia's natural resources to manage environmental
sustainability through digitalization. We analyse 19 Asian nations from 1990 to 2020. In …
sustainability through digitalization. We analyse 19 Asian nations from 1990 to 2020. In …
Molecular-based artificial neural network for predicting the electrical conductivity of deep eutectic solvents
Due to their unique features, deep eutectic solvents (DESs) are well-known as promising
and environmentally friendly solvents. Their use in various processes has recently become …
and environmentally friendly solvents. Their use in various processes has recently become …
Predicting the surface tension of deep eutectic solvents using artificial neural networks
Studies on deep eutectic solvents (DESs), a new class of “green” solvents, are attracting
increasing attention from researchers, as evidenced by the rapidly growing number of …
increasing attention from researchers, as evidenced by the rapidly growing number of …
Knowledge-based machine learning techniques for accurate prediction of CO2 storage performance in underground saline aquifers
Carbon dioxide storage in underground saline aquifers is considered a promising technique
for decreasing atmospheric CO 2 emissions. The CO 2 residual and solubility in deep saline …
for decreasing atmospheric CO 2 emissions. The CO 2 residual and solubility in deep saline …
[HTML][HTML] Understanding and optimizing the gasification of biomass waste with machine learning
Gasification is a sustainable approach for biomass waste treatment with simultaneous
combustible H 2-syngas production. However, this thermochemical process was quite …
combustible H 2-syngas production. However, this thermochemical process was quite …
Accurate prediction of carbon dioxide capture by deep eutectic solvents using quantum chemistry and a neural network
Carbon dioxide (CO2) emissions from fossil fuel combustion are a significant source of
greenhouse gas, contributing in a major way to global warming and climate change. Carbon …
greenhouse gas, contributing in a major way to global warming and climate change. Carbon …