Prognostication of advanced CO2 capture using tunable solvents with an ensemble learning-based decision tree model

Prognostication of advanced CO2 capture using tunable solvents with an ensemble learning-based decision tree model

Abstract This study presents a robust method for predicting CO2 solubility in Deep Eutectic Solvents (DESs) using the stochastic gradient boosting (SGB) algorithm. DESs, promising green solvents for CO2 capture, require precise solubility data for practical applications in industrial and environment...

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Bibliographic Details
Main Authors: Reza Soleimani, Amir Hossein Saeedi Dehaghani, Ziba Behtouei, Hamidreza Farahani, Seyyed Mohsen Hashemi
Format: Article
Language:English
Published: Nature Portfolio 2025-06-01
Series:Scientific Reports
Subjects:
Stochastic gradient boosting
CO2 capture
Deep eutectic solvents
Solubility
Prediction
Online Access:https://doi.org/10.1038/s41598-025-04318-4
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