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The role of self-purification and the electronic structure of magnetically doped semiconductor nanocrystals

纳米晶 纳米晶材料 铁磁性 磁性半导体 兴奋剂 材料科学 自旋电子学 杂质 纳米技术 凝聚态物理 半导体 化学物理 化学 物理 光电子学 量子力学
作者
James R. Chelikowsky
出处
期刊:Phase Transitions [Taylor & Francis]
卷期号:79 (9-10): 739-753 被引量:6
标识
DOI:10.1080/01411590601030100
摘要

Abstract The electronic and magnetic properties of Mn-doped Ge, GaAs, and ZnSe nanocrystals and the role of “self-purification” in doping these nanocrystals are briefly reviewed. The ferromagnetic and half-metalicity trends found in the bulk are preserved in the nanocrystals. However, the Mn-related impurity states become much deeper in energy with decreasing nanocrystalline size, causing the ferromagnetic stabilization to be dominated by double exchange via localized holes rather than by a Zener-like mechanism. As such, the size of the nanocrystal can be used to alter the nature of the magnetic interactions within these materials. However, the creation of doped nanocrystals can be difficult, as the distance a defect or impurity must move to reach the surface of a nanocrystal is very small. The spontaneous expulsion of defects or impurities from nanocrystals is sometimes called a “self-purification” process. Self-purification within such systems can be explained through energetic arguments and is an intrinsic property of defects in semiconductor nanocrystals. The formation energies of defects increases as the size of the nanocrystal decreases. Keywords: Spintronic materialsDilute magnetic semiconductorsNano crystalsSelf-purificationDopingPseudopotentialsDensity functional theory Acknowledgements I would like to thank Leeor Kronik, Gustavo Dalpian and Scott Beckman for helpful discussions. This work was supported in part by the National Science Foundation under DMR-0551195 and by the US Department of Energy under DE-FG02-89ER45391 and DE-FG02-03ER15491. Calculations were performed at the Minnesota Supercomputing Institute (MSI), at the National Energy Research Scientific Computing Center (NERSC), and at the Texas Advanced Computing Center (TACC).

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