RUS  ENG
Full version
JOURNALS // Fizika Tverdogo Tela // Archive

Fizika Tverdogo Tela, 2018 Volume 60, Issue 12, Pages 2325–2330 (Mi ftt8968)

Semiconductors

Effects of magnetic ordering in conductivity and magnetization of gaas-based semiconductor heterostructures upon changing the concentration of the delta-layer of manganese admixture

K. D. Moiseeva, Yu. A. Kudriavtsevb, T. B. Charikovacd, A. M. Lugovykhc, T. E. Govorkovac, V. I. Okulovcd

a Ioffe Institute, St. Petersburg
b National Polytechnic Institute SINVESTAV, Mexico City, Mexico
c Institute of Metal Physics, Ural Division of the Russian Academy of Sciences, Ekaterinburg
d Ural Federal University named after the First President of Russia B. N. Yeltsin, Ekaterinburg

Abstract: Characteristic effects of magnetic ordering and conduction in semiconductor heterostructures with a GaAs : Be/Ga$_{0.84}$In$_{0.16}$As/GaAs quantum well and manganese $\delta$-layers of different thickness (from 0.4 to 2 monolayers) were studied based on analysis of magnetic field and temperature dependences, galvanomagnetic effects, and magnetization. An anomalous dependence of the conductivity on the manganese atoms concentration in the $\delta$-layer was observed, which was due to a strong scattering of charge carriers in the structures with the low content of magnetic impurities. Magnetic properties of the heterostructures clearly indicated the magnetic ordering of the impurity system (saturation and hysteresis of the magnetization and fulfillment of the Curie–Weiss law at increasing temperature). Parameters of the magnetic subsystem allowed revealing different types of ordering in the systems with different concentrations of the magnetic impurity. Changing the concentration of the Mn admixture in the $\delta$-layer was shown to influence significantly the conductivity and magnetism in the studied structures.

Received: 25.01.2018
Revised: 29.05.2018

DOI: 10.21883/FTT.2018.12.46720.022


 English version:
Physics of the Solid State, 2018, 60:12, 2402–2407

Bibliographic databases:


© Steklov Math. Inst. of RAS, 2024