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Work: A robust machine learning framework for predicting CO2 solubility in polyethylene glycol using advanced optimization strategies

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Polyethylene glycol and solutions of polyethylene glycol as green reaction media
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Optimizing CaO-based CO2 adsorption: Impact of operating parameters
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Modeling CO2 wettability behavior at the interface of brine/CO2/mineral: Application to CO2 geo-sequestration
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Prediction of CO 2 /water/quartz wettability behavior during CO 2 storage in deep saline aquifers
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Machine learning method to predict dynamic compressive response of concrete-like material at high strain rates
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Machine learning framework for predicting the low cycle fatigue life of lead-free solders
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Al 2 O 3 /MgO‐doped, CaO‐based adsorbents for CO 2 capture: A performance study
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Works cited by this work

Recent Applications of Polyethylene Glycols (PEGs) and PEG Derivatives

Preparation of micro particles of functional pigments by gas-saturated solution process using supercritical carbon dioxide and polyethylene glycol

Thermodynamic study on aqueous polyethylene glycol 200 solution and performance assessment for CO2 separation

Polyethylene glycol (PEG) derived carbon dots: Preparation and applications

Carbon Dioxide Separation by Polyethylene Glycol and Glutamic Acid/Polyvinyl Alcohol Composite Membrane

CO2-solvated liquefaction of polyethylene glycol (PEG): A novel, green process for the preparation of drug-excipient composites at low temperatures

Polyethylene glycol: Properties, applications, and challenges

Estimating CO2-Brine diffusivity using hybrid models of ANFIS and evolutionary algorithms

Determining influence of different factors on production optimization by developing production scenarios

Polyethylene glycol and solutions of polyethylene glycol as green reaction media

Optimizing CaO-based CO2 adsorption: Impact of operating parameters

Modeling CO2 wettability behavior at the interface of brine/CO2/mineral: Application to CO2 geo-sequestration

Prediction of CO <sub>2</sub> /water/quartz wettability behavior during CO <sub>2</sub> storage in deep saline aquifers

Determination of Initial Void Ratio of Remolded Clay Using Bayesian Data Fusion Approach

Machine learning method to predict dynamic compressive response of concrete-like material at high strain rates

You only design once (YODO): Gaussian Process-Batch Bayesian optimization framework for mixture design of ultra high performance concrete

Machine learning framework for predicting the low cycle fatigue life of lead-free solders

On-demand prediction of low-frequency average sound absorption coefficient of underwater coating using machine learning

Al <sub>2</sub> O <sub>3</sub> /MgO‐doped, CaO‐based adsorbents for CO <sub>2</sub> capture: A performance study

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