Multi-task deep learning for simultaneous prediction of steel purity and carbon capture rate using membrane separation technology in integrated steelmaking processes
Steel production significantly contributes to global CO2 emissions, demanding simultaneous optimization of product quality and environmental performance. Current prediction models address steel purity and carbon capture separately, missing opportunities for integrated process optimization. This work...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-09-01
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| Series: | Array |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2590005625001122 |
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