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Uncovering anisotropic effects of electric high-moment dipoles on the tunneling current in [Formula: see text]-layer tunnel junctions.
Mendez, Juan P; Mamaluy, Denis.
Afiliación
  • Mendez JP; Sandia National Laboratories, Albuquerque, NM 87123 USA.
  • Mamaluy D; Sandia National Laboratories, Albuquerque, NM 87123 USA.
Sci Rep ; 13(1): 22591, 2023 Dec 18.
Article en En | MEDLINE | ID: mdl-38114619
ABSTRACT
The precise positioning of dopants in semiconductors using scanning tunneling microscopes has led to the development of planar dopant-based devices, also known as [Formula see text]layer-based devices, facilitating the exploration of new concepts in classical and quantum computing. Recently, it has been shown that two distinct conductivity regimes (low- and high-bias regimes) exist in [Formula see text]-layer tunnel junctions due to the presence of quasi-discrete and continuous states in the conduction band of [Formula see text]-layer systems. Furthermore, discrete charged impurities in the tunnel junction region significantly influence the tunneling rates in [Formula see text]-layer tunnel junctions. Here we demonstrate that electrical dipoles, i.e. zero-charge defects, present in the tunnel junction region can also significantly alter the tunneling rate, depending, however, on the specific conductivity regime, and orientation and moment of the dipole. In the low-bias regime, with high-resistance tunneling mode, dipoles of nearly all orientations and moments can alter the current, indicating the extreme sensitivity of the tunneling current to the slightest imperfection in the tunnel gap. In the high-bias regime, with low-resistivity, only dipoles with high moments and oriented in the directions perpendicular to the electron tunneling direction can significantly affect the current, thus making this conductivity regime significantly less prone to the influence of dipole defects with low-moments or oriented in the direction parallel to the tunneling.

Texto completo: 1 Bases de datos: MEDLINE Idioma: En Revista: Sci Rep Año: 2023 Tipo del documento: Article

Texto completo: 1 Bases de datos: MEDLINE Idioma: En Revista: Sci Rep Año: 2023 Tipo del documento: Article