Integrating machine learning-based classification and regression models for solvent regeneration prediction in post-combustion carbon capture: An absorption-based case
As an industrialized nation with substantial greenhouse gas emissions, Iran faces an urgent need to implement post-combustion carbon capture (PCC) technology. However, conventional PCC systems often struggle with inefficiencies, particularly in solvent selection and regeneration, leading to high ene...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-06-01
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| Series: | Results in Engineering |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2590123025009314 |
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