Robust machine learning models for calculating the carbon dioxide desublimation point within natural gas mixtures at low temperature conditions
Desublimation at low temperatures offers an efficient method for removing CO2 from gas streams. Accurate prediction of the carbon dioxide desublimation temperature (CDDT) is essential for applying this method in natural gas processing. This investigation aimed to develop predictive tools utilizing m...
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| Main Authors: | , , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-09-01
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| Series: | Journal of CO2 Utilization |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2212982025001349 |
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