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Deep Learning Neural Network Approach for Predicting the Sorption of Ionizable and Polar Organic Pollutants to a Wide Range of Carbonaceous Materials
[Image: see text] Most contaminants of emerging concern are polar and/or ionizable organic compounds, whose removal from engineered and environmental systems is difficult. Carbonaceous sorbents include activated carbon, biochar, fullerenes, and carbon nanotubes, with applications such as drinking wa...
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| Publicado no: | Environ Sci Technol |
|---|---|
| Main Authors: | , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
American
Chemical Society
2020
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| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7205386/ https://ncbi.nlm.nih.gov/pubmed/32124609 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1021/acs.est.9b06287 |
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