能量学
兴奋剂
材料科学
凝聚态物理
工程物理
热力学
光电子学
物理
出处
期刊:Physica Scripta
[IOP Publishing]
日期:2025-04-08
卷期号:100 (5): 055959-055959
被引量:1
标识
DOI:10.1088/1402-4896/adca71
摘要
Abstract Spintronics offers more efficient data storage and quantum computing. Dilute magnetic semiconductors (DMS) are viewed as a sustainable means of achieving practical spintronics. Incorporating transition metal ions into a semiconductor lattice and creating ferromagnetic material is an important aspect of DMS research. This work explores the magnetic properties of Cr, Ru, and Rh doped w-AlN through spin-polarized density functional theory calculations of the electronic structure using supercell models. Formation energies of the point defects computed as a function of Fermi level predict that Cr 4+ , Ru 4+ and Rh 3+ are the most probable charge states for dopant Cr, Ru and Rh atoms, respectively, substituted for Al in w-AlN. Cr-doped AlN with Cr in Cr 4+ charge state is found to be stable in the ferromagnetic state rather than in the antiferromagnetic state for all the concentrations of Cr considered (1.85 to 16.67% of Al). Whereas Ru and Rh doped AlN with Ru and Rh in Ru 4+ and Rh 3+ charge states are unstable in the ferromagnetic state. The electronic density of states (DOS) of Cr-doped AlN in the ferromagnetic state shows that the system remains an insulator, with Fermi level placed directly above the valence band maximum (VBM) for Cr less than 5.56%. With Cr between 7.40 and 12.96%, the system exhibits a half-metal state with Fermi level located on the Cr 3d spin-up peaks occurring on the shoulder of VBM. The DOS transforms to normal metal state at 16.67% Cr with the Fermi level placed on both the spin-up and spin-down Cr 3d DOS. The half metal feature is absent in the DOS of energy-favored antiferromagnetic models of Ru and Rh doped systems. With changes in dopant concentration, the Fermi level falls nonsequentially between the DOS peaks or on the spin-up and spin-down DOS peaks originating from gap states of 4d electrons.
科研通智能强力驱动
Strongly Powered by AbleSci AI