Modeling, optimization and understanding of adsorption process for pollutant removal via machine learning: Recent progress and future perspectives

W Zhang, W Huang, J Tan, D Huang, J Ma, B Wu - Chemosphere, 2023 - Elsevier
It is crucial to reduce the concentration of pollutants in water environment to below safe
levels. Some cost-effective pollutant removal technologies have been developed, among …
被引用次数：37 相关文章

Modeling, optimization and understanding of adsorption process for pollutant removal via machine learning: Recent progress and future perspectives.

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Modeling, optimization and understanding of adsorption process for pollutant removal via machine learning: Recent progress and future perspectives

W Zhang, W Huang, J Tan, D Huang, J Ma… - …, 2023 - ui.adsabs.harvard.edu
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Modeling, optimization and understanding of adsorption process for pollutant removal via machine learning: recent progress and future perspectives.

W Zhang, W Huang, J Tan, D Huang, J Ma, B Wu - 2023 - cabidigitallibrary.org
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Modeling, optimization and understanding of adsorption process for pollutant removal via machine learning: Recent progress and future perspectives

W Zhang, W Huang, J Tan, D Huang, J Ma… - …, 2023 - pubmed.ncbi.nlm.nih.gov
It is crucial to reduce the concentration of pollutants in water environment to below safe
levels. Some cost-effective pollutant removal technologies have been developed, among …

[引用][C] Modeling, optimization and understanding of adsorption process for pollutant removal via machine learning: Recent progress and future perspectives

W Zhang, W Huang, J Tan, D Huang, J Ma… - …, 2023 - ui.adsabs.harvard.edu
Modeling, optimization and understanding of adsorption process for pollutant removal via machine
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