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      Structural, dielectric, and magnetic responses in Doped ZnO magnetic nanoparticles for spintronics

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          Electrical spin injection in a ferromagnetic semiconductor heterostructure

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            A ten-year perspective on dilute magnetic semiconductors and oxides.

            Over the past ten years, the search for compounds combining the properties of semiconductors and ferromagnets has evolved into an important field of materials science. This endeavour has been fuelled by many demonstrations of remarkable low-temperature functionalities in the ferromagnetic structures (Ga,Mn)As and p-(Cd,Mn)Te, and related compounds, and by the theoretical prediction that magnetically doped, p-type nitride and oxide semiconductors might support ferromagnetism mediated by valence-band holes to above room temperature. Indeed, ferromagnetic signatures persisting at high temperatures have been detected in a number of non-metallic systems, even under conditions in which the presence of spin ordering was not originally anticipated. Here I review recent experimental and theoretical developments, emphasizing that they not only disentangle many controversies and puzzles accumulated over the past decade but also offer new research prospects.
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              Effect of Cobalt Doping on Structural, Optical, and Magnetic Properties of ZnO Nanoparticles Synthesized by Coprecipitation Method

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                Author and article information

                Contributors
                Journal
                Journal of Materials Science: Materials in Electronics
                J Mater Sci: Mater Electron
                Springer Science and Business Media LLC
                0957-4522
                1573-482X
                January 2023
                January 20 2023
                January 2023
                : 34
                : 3
                Article
                10.1007/s10854-022-09711-7
                b448b3bd-cac8-4476-8980-092cc3218462
                © 2023

                https://www.springernature.com/gp/researchers/text-and-data-mining

                https://www.springernature.com/gp/researchers/text-and-data-mining

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