Deep learning models to predict CO2 solubility in imidazolium-based ionic liquids
Abstract This study focuses on predicting CO2 solubility in imidazolium-based ionic liquids using deep learning models with input parameters of critical pressure, critical temperature, molecular weight, and acentric factor. The models evaluated include Bayesian Neural Networks (BNN), Deep Neural Net...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-07-01
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| Series: | Scientific Reports |
| Subjects: | |
| Online Access: | https://doi.org/10.1038/s41598-025-12004-8 |
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