Zhu, Tengyi, Zhang, Yu, Tao, Cuicui, Chen, Wenxuan, Cheng, Haomiao (2023) Prediction of organic contaminant rejection by nanofiltration and reverse osmosis membranes using interpretable machine learning models. Science of The Total Environment, 857. 159348 doi:10.1016/j.scitotenv.2022.159348
Reference Type | Journal (article/letter/editorial) | ||
---|---|---|---|
Title | Prediction of organic contaminant rejection by nanofiltration and reverse osmosis membranes using interpretable machine learning models | ||
Journal | Science of The Total Environment | ||
Authors | Zhu, Tengyi | Author | |
Zhang, Yu | Author | ||
Tao, Cuicui | Author | ||
Chen, Wenxuan | Author | ||
Cheng, Haomiao | Author | ||
Year | 2023 (January) | Volume | 857 |
Publisher | Elsevier BV | ||
DOI | doi:10.1016/j.scitotenv.2022.159348Search in ResearchGate | ||
Generate Citation Formats | |||
Mindat Ref. ID | 15467227 | Long-form Identifier | mindat:1:5:15467227:0 |
GUID | 0 | ||
Full Reference | Zhu, Tengyi, Zhang, Yu, Tao, Cuicui, Chen, Wenxuan, Cheng, Haomiao (2023) Prediction of organic contaminant rejection by nanofiltration and reverse osmosis membranes using interpretable machine learning models. Science of The Total Environment, 857. 159348 doi:10.1016/j.scitotenv.2022.159348 | ||
Plain Text | Zhu, Tengyi, Zhang, Yu, Tao, Cuicui, Chen, Wenxuan, Cheng, Haomiao (2023) Prediction of organic contaminant rejection by nanofiltration and reverse osmosis membranes using interpretable machine learning models. Science of The Total Environment, 857. 159348 doi:10.1016/j.scitotenv.2022.159348 | ||
In | (2023) Science of The Total Environment Vol. 857. Elsevier BV |
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