Tackling environmental challenges in pollution controls using artificial intelligence: A review
This review presents the developments in artificial intelligence technologies for
environmental pollution controls. A number of AI approaches, which start with the reliable …
environmental pollution controls. A number of AI approaches, which start with the reliable …
Computer-aided molecular design of ionic liquids as advanced process media: a review from fundamentals to applications
The unique physicochemical properties, flexible structural tunability, and giant chemical
space of ionic liquids (ILs) provide them a great opportunity to match different target …
space of ionic liquids (ILs) provide them a great opportunity to match different target …
Prediction of CO2 solubility in ionic liquids using machine learning methods
A comprehensive database containing 10,116 CO 2 solubility data measured in various
ionic liquids (ILs) at different temperatures and pressures is established. Based on this …
ionic liquids (ILs) at different temperatures and pressures is established. Based on this …
A multi-factor integrated model for carbon price forecasting: Market interaction promoting carbon emission reduction
LT Zhao, J Miao, S Qu, XH Chen - Science of the Total Environment, 2021 - Elsevier
Reasonable carbon price can effectively promote the low-carbon transformation of economy.
The future carbon price has an important guiding significance for enterprises and the …
The future carbon price has an important guiding significance for enterprises and the …
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 …
[HTML][HTML] Optimization of WAG in real geological field using rigorous soft computing techniques and nature-inspired algorithms
MN Amar, AJ Ghahfarokhi, CSW Ng… - Journal of Petroleum …, 2021 - Elsevier
To meet the ever-increasing global energy demands, it is more necessary than ever to
ensure increments in the recovery factors (RF) associated with oil reservoirs. Owing to this …
ensure increments in the recovery factors (RF) associated with oil reservoirs. Owing to this …
Machine learning in absorption-based post-combustion carbon capture systems: A state-of-the-art review
The enormous consumption of fossil fuels from various human activities leads to a significant
amount of anthropogenic CO 2 emission into the atmosphere, which has already massively …
amount of anthropogenic CO 2 emission into the atmosphere, which has already massively …
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 …
An overview on the toxicological properties of ionic liquids toward microorganisms
M Sivapragasam, M Moniruzzaman… - Biotechnology …, 2020 - Wiley Online Library
Ionic liquids (ILs), a class of materials with unique physicochemical properties, have been
used extensively in the fields of chemical engineering, biotechnology, material sciences …
used extensively in the fields of chemical engineering, biotechnology, material sciences …
[HTML][HTML] Application of machine learning models to improve the prediction of pesticide photodegradation in water by ZnO-based photocatalysts
Pesticide pollution has been posing a significant risk to human and ecosystems, and
photocatalysis is widely applied for the degradation of pesticides. Machine learning (ML) …
photocatalysis is widely applied for the degradation of pesticides. Machine learning (ML) …