Predicting adsorption ability of adsorbents at arbitrary sites for pollutants using deep transfer learning
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DOI: 10.1038/s41524-021-00494-9
Abstract: Accurately evaluating the adsorption ability of adsorbents for heavy metal ions (HMIs) and organic pollutants in water is critical for the design and preparation of emerging highly efficient adsorbents. However, predicting adsorption capabilities of adsorbents… read more here.
Keywords: adsorption; adsorption ability; arbitrary sites; adsorbents arbitrary ... See more keywords