Harnessing the power of machine learning for carbon capture, utilisation, and storage (CCUS)–a state-of-the-art review
Carbon capture, utilisation and storage (CCUS) will play a critical role in future
decarbonisation efforts to meet the Paris Agreement targets and mitigate the worst effects of …
decarbonisation efforts to meet the Paris Agreement targets and mitigate the worst effects of …
Emerging Trends in Sustainable CO2‐Management Materials
With the rising level of atmospheric CO2 worsening climate change, a promising global
movement toward carbon neutrality is forming. Sustainable CO2 management based on …
movement toward carbon neutrality is forming. Sustainable CO2 management based on …
A review on machine learning algorithms for the ionic liquid chemical space
There are thousands of papers published every year investigating the properties and
possible applications of ionic liquids. Industrial use of these exceptional fluids requires …
possible applications of ionic liquids. Industrial use of these exceptional fluids requires …
Challenges and opportunities in carbon capture, utilization and storage: A process systems engineering perspective
Carbon capture, utilization, and storage (CCUS) is a promising pathway to decarbonize
fossil-based power and industrial sectors and is a bridging technology for a sustainable …
fossil-based power and industrial sectors and is a bridging technology for a sustainable …
Generic AI models for mass transfer coefficient prediction in amine‐based CO2 absorber, Part II: RBFNN and RF model
In this work, the radial basis function neural network (RBFNN) and random forest (RF)
algorithms were employed to develop generic AI models predicting mass transfer coefficient …
algorithms were employed to develop generic AI models predicting mass transfer coefficient …
Application of machine learning in carbon capture and storage: An in-depth insight from the perspective of geoscience
P Yao, Z Yu, Y Zhang, T Xu - Fuel, 2023 - Elsevier
Greenhouse gas emissions cause serious global climate change, and it is urgent to curb CO
2 emissions. As the last-guaranteed technology to reduce carbon emissions, carbon capture …
2 emissions. As the last-guaranteed technology to reduce carbon emissions, carbon capture …
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] Prediction of CO2 solubility in deep eutectic solvents using random forest model based on COSMO-RS-derived descriptors
This work presents the development of molecular-based mathematical model for the
prediction of CO 2 solubility in deep eutectic solvents (DESs). First, a comprehensive …
prediction of CO 2 solubility in deep eutectic solvents (DESs). First, a comprehensive …
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 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 …