Comment on Predicting Aqueous Adsorption of Organic Compounds onto Biochars, Carbon Nanotubes, Granular Activated Carbons, And Resins with Machine Learning.
作者信息
Sigmund Gabriel, Gharasoo Mehdi, Hüffer Thorsten, Hofmann Thilo
机构信息
Department of Environmental Geosciences, Centre for Microbiology and Environmental Systems Science, University of Vienna, Althanstrasse 14, 1090 Wien, Austria.
Ecohydrology Research Group, Department of Earth and Environmental Sciences, University of Waterloo, 200 University Av W, Waterloo, Ontario Canada N2L 3G1.
出版信息
Environ Sci Technol. 2020 Sep 15;54(18):11636-11637. doi: 10.1021/acs.est.0c03931. Epub 2020 Aug 25.
Abstract
摘要
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本文引用的文献
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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.用于预测可电离和极性有机污染物在多种碳质材料上吸附的深度学习神经网络方法
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Activity and Reactivity of Pyrogenic Carbonaceous Matter toward Organic Compounds.热解碳质物质对有机化合物的活性和反应性。
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