Development of Advanced Machine Learning Models for Predicting CO<sub>2</sub> Solubility in Brine
This study explores the application of advanced machine learning (ML) models to predict CO<sub>2</sub> solubility in NaCl brine, a critical parameter for effective carbon capture, utilization, and storage (CCUS). Using a comprehensive database of 1404 experimental data points spanning te...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-02-01
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| Series: | Energies |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1996-1073/18/5/1202 |
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