[ACS] Employing Machine Learning Models to Predict Potential 汐-Glucosidase Inhibitory Plant Secondary Metabolites Targeting Type-2 Diabetes and TheirIn VitroValidation |
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2-Methylimidazole-Assisted Synthesis of Nanosized Cu3(BTC)2 for Controlling the Selectivity of the Catalytic Oxidation of Styrene
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Intrinsically Nitrogen-Enriched Biomass-Derived Hard Carbon with Enhanced Performance as a Sodium-Ion Battery Anode
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Sulfur Encapsulation and Sulfur Doping Synergistically Enhance Sodium Ion Storage in Microporous Carbon Anodes
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Green Water-Soluble Salt-Templated Synthesis of 3D Hierarchical Porous Hard Carbon for High-Performance Supercapacitors
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Modeling Electrochemical Na/K-Storage Behaviors of Carbonaceous Materials
