Microwave-anion-exchange route to spinel CuCo2S4 nanosheets as cathode materials for magnesium storage
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In layered minerals typically available in soil, there exists a high concentration of nanosheet edge sites formed by overlap among two-dimensional (2D) nanosheets, which act as heavily adhesive Cs chemisorption sites. Here, we propose the application of irradiation with ultrasonic waves in addition to microwaves employing ethylenediaminetetraacetic acid (EDTA) chelate to aid the decontamination of Cs from the nanosheet edges. The energy deposition by irradiation with both micro and ultrasonic waves is found to separate the overlap among the 2D nanosheets, succeeding in the desorption of Cs from the nanosheet edges. The decontamination of Cs became more prominent with ultrasonic irradiation owing to more efficient energy deposition than that with microwaves. The desorption mechanism is highlighted based on the results of systematic studies of the local structural reconfigurations of nanosheet arrays caused by wave irradiation. Surprisingly, not the aqueous solution nor interlayer water but constitution water triggers Cs desorption from the nanosheet edges, thus opening up a future decontamination strategy with a water saving system.
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Here we report the preparation of porous CeO2 and clusters of CeO2 nanosheet arrays via a simple, efficient electrochemical approach. Gas bubbles functioning as a dynamic template were utilized in our research for the synthesis of nanosheet array clusters. The Hc and Mr values of porous CeO2 are almost the same as those of CeO2 nanosheet array clusters at 5 K, and they are about 5916 Oe and 8.83 × 10-4 emu, respectively. However, the saturation magnetization of CeO2 nanosheet array clusters is much larger than that of porous CeO2 structures. The magnetic property of the prepared CeO2 deposits may be caused by the existence of Ce(III), indicating potential interest in the nanodevices because of their electronic and magnetic properties.
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A facile method to synthesize a MoS(2) nanosheet-graphene nanosheet hybrid has been developed via the combination of a lithiation-assisted exfoliation process and a hydrazine monohydrate vapour reduction technique. The as-obtained nanosheet-nanosheet hybrid is more robust and exhibits much improved cycle life (>700), which make it an efficient morphological solution to the stable lithium storage problem of nanomaterials.
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Potassium ion batteries (KIBs) have received increasing popularity owing to their distinct advantages. We discover a hitherto unknown C4S nanosheet, a novel carbon-based material with carbon and sulfur consisting of pentagons and hexagons rings. The proposed C4S nanosheet is highly stable dynamically, thermodynamically, mechanically, and chemically, according to first-principles calculations. Moreover, the graphene-like C4S nanosheet is a prospective KIBs anode material, which has a metallic band structure, a relatively low diffusion barrier (0.07 eV), a large capacity (1340 mA h g−1), and an acceptable average voltage (0.44 V). Finally, we demonstrate good cycling stability of the C4S nanosheet. Our findings indicate that the proposed C4S nanosheet is a potentially favorable KIBs anode material.
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Although many electrochemical properties of 2D materials depend sensitively on the nanosheet dimensions, there are no systematic, quantitative studies which analyze the effect of nanosheet size and thickness on electrochemical parameters. Here we use size-selected WS2 nanosheets as a model system to determine the effect of nanosheet dimensions in two representative areas: hydrogen evolution electrocatalytic electrodes and electrochemical double layer capacitor electrodes. We chose these applications, as they depend on the interaction of ions with the nanosheet edge and basal plane, respectively, and so would be expected to be nanosheet-size-dependent. The data show the catalytic current density to scale inversely with mean nanosheet length while the volumetric double layer capacitance scales inversely with mean nanosheet thickness. Both of these results are consistent with simple models allowing use to extract intrinsic quantities, namely the turnover frequency and the double layer thickness, respectively.
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