Hybrid modeling of adsorption process using mass transfer and machine learning techniques for concentration prediction
Abstract This study presents a comprehensive hybrid modeling framework that integrates computational fluid dynamics (CFD) with machine learning (ML) techniques to predict chemical concentration distributions during the adsorption of organic compounds onto porous materials. The primary goal is to imp...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Springer
2025-07-01
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| Series: | Journal of Saudi Chemical Society |
| Subjects: | |
| Online Access: | https://doi.org/10.1007/s44442-025-00016-y |
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