Magnetic characterization techniques and micromagnetic simulations of magnetic nanostructures: from zero to three dimensions.

The investigation of the magnetic characteristics of magnetic nanostructures (MNs) in various dimensions is a crucial direction of research in nanomagnetism, with MNs belonging to various dimensions exhibiting magnetic properties related to their geometry. A better understanding of these magnetic properties is required for MN manipulation. The primary tools for researching MNs are magnetic characterisation techniques with great spatial resolution and spin sensitivity.

Extending Ag Nanoparticles as Colorimetric Sensor to Industrial Zinc Electrolyte for Cobalt Ion Detection.

The direct and rapid determination of trace cobalt ion (Co) in the electrolyte of zinc smelting plants is urgently needed but is impeded by the severe interference of extremely high-concentration zinc ions in the solution. Herein, colorimetric detection of Co by the polyvinylpyrrolidone functionalized silver nanoparticles (PVP-AgNPs) is realized in solutions with the Zn/Co ratio being high, up to (0.8-5) × 10, which is located within the ratio range in industrial solution.

Mechanistic study on calcium ion diffusion into fayalite: A step toward sustainable management of copper slag.

Copper slag, which contains Fe-rich fayalite (FeSiO), is a valuable solid waste that warrants further research in order to recover iron. Calcium oxide (CaO) can significantly enhance iron recovery from copper slag; however, the associated mechanism has not yet been explored. In this study, we investigated the interaction between CaO and FeSiO to obtain detailed understanding of the role of CaO in enhancing iron recovery.

Isothermal Coal-Based Reduction Kinetics of Fayalite in Copper Slag.

The coal-based reduction of fayalite was characterized using thermogravimetric (TG) and differential TG methods with reduction temperatures from 1123 to 1273 K. The results of fayalite isothermal reduction indicate that the reduction process is divided two stages. The corresponding apparent activation energy was gained using the isoconversional and model-fitting methods.

Engineering SrCuO composition to tailor the degradation activity toward organic pollutant under dark ambient conditions.

The composition of SrCuO mixed metal oxides (MMOs) was engineered via varying the amount of copper relative to strontium. As-synthesized SrCuO were highly active for degrading methyl orange (MO) pollutant at dark ambient conditions without the aid of other reagents. The catalytic activity of SrCuO demonstrated a reverse-volcano relationship with copper content.