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About the Cover:On the cover: In-depth understanding of the complexation behavior of functional groups with uranyl ion is essential for development of high-efficient seawater uranium adsorbents. Density functional theory (DFT) calculations demonstrated that owing to the high proton rearrangement energy and dissociation energy of the glutarimidedioxime group (H2A), the pyridine-2,6-dicarboxylic acid group (H2DPA) is more prone to substitution reactions with [UO2(CO3)3]4-, and H2DPA is a potential effective ligand for uranium extraction from seawater. [Shi, Weiqun et al. on page 708-713.]
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About the Cover:On the back cover: We developed an ensemble machine learning method by integrating three heterogeneous models: ANN (artificial neural networks) based on interpretable descriptors, ANN based on correlated descriptors, and SVM (support vector machines) based on hybrid molecular fingerprints, and realized the boiling point prediction of high accuracy in wide structure space. This multi-component heterogeneous learning model can also be well generalized to the prediction of many physical chemical properties beyond boiling point. [Yu, Xi et al. on page 714-723.]
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