Atomic Layer and Interfacial Oxygen Defect Tailored Magnetic Anisotropy and Dzyaloshinskii–Moriya Interaction in Perovskite SrRuO3/SrTiO3 Heterostructures

2020 ◽  
Vol 2 (8) ◽  
pp. 2591-2600
Author(s):  
Zengjie Li ◽  
Xiang Liu ◽  
Jiawei Jiang ◽  
Wenbo Mi ◽  
Haili Bai
2021 ◽  
pp. 1-1
Author(s):  
I. Benguettat-El Mokhtari ◽  
Y. Roussigne ◽  
S. M. Cherif ◽  
S. Auffret ◽  
C. Baraduc ◽  
...  

Author(s):  
R. Gieniusz ◽  
P. Mazalski ◽  
U. Guzowska ◽  
I. Sveklo ◽  
J. Fassbender ◽  
...  

2014 ◽  
Vol 616 ◽  
pp. 247-251
Author(s):  
Tim Yang ◽  
Z.Q. Wang ◽  
Makoto Kohda ◽  
Takeshi Seki ◽  
Koki Takanashi ◽  
...  

We investigate the perpendicular magnetic anisotropy dependence on the AlO capping layer in Pt/Co/AlO films. AlO was deposited on Pt/Co films by RF magnetron sputtering and atomic layer deposition (ALD) with varying thickness. It is found that the prolonged deposition of thick AlO layers by RF magnetron sputtering causes significant damage to the Pt/Co underneath while AlO layers formed by ALD can be of arbitrary thickness with no damage to the magnetic properties of the films. The decline of the magnetic properties can be attributed to the method of AlO deposition for each process. In the RF magnetron sputtering, AlO atoms with high kinetic energy are ejected from a sputter target resulting in the degradation of Pt/Co films, while the process of deposition of AlO by ALD is governed by a series of chemically reactive condensations allowing for arbitrary deposition thickness of AlO.


2021 ◽  
Vol 0 (1) ◽  
pp. 81-86
Author(s):  
A.R. MINIBAEVA ◽  
◽  
Z.V. GAREEVA ◽  

This paper discusses the prospects for using magnetic nanostructures as elements of neural networks. At present neural network learning programs are actively used in analyzing and processing large data arrays; however, the development of computer technologies based on the neural network principle still remains open. Possibilities for using magnetic elements as physical carriers of information bits in these systems attract much attention from researchers and technologists due to the presence of several easily controlled parameters (order parameter) in the magnetic system, possibilities for the dimensionality reduction in magnetic elements by using magnetic nanostructures (domain boundaries, vortices, ckyrmions), superquick switching between magnetic states and some other factors. One of the key aspects of research in this regard is to determine basic controlled magnetic parameters in restricted geometries and to identify ways of controlling these parameters through internal and external factors. The paper presents a research on the magnetic ground state in restricted geometries. It deals with the magnetic state rebuilding in the system under changes in both external factors (applied magnetic field, sample dimensions) and internal ones (magnetic anisotropy constant, Dzyaloshinskii-Moriya interaction constant). Calculations were performed within the framework of micromagnetic modelling using the Object Oriented MicroMagnetic Framework ( OOMMF) sogtware. It is shown that the anisotropic exchange interaction (Dzyaloshinskii-Moriya interaction) has a significant effect on the magnetization distribution in restricted geometries. Namely, when changing the value of the Dzyaloshinskii-Moriya constant in the system with uniaxial magnetic anisotropy there is a series of phase transitions observed between magnetic states of different types: transitions from the homogenous magnetic state into the skyrmion-type vortex state (domain structure with the skyrmion-type unidomain state) with subsequent domain structure reversal when changing the value of the Dzyaloshinskii-Moriya constant. In the case of magnetic anisotropy of easy -axis type, chirality and properties of the structures in question do not depend on the constant symbol of the Dzyaloshinskii-Moriya interaction.


2017 ◽  
Vol 119 (7) ◽  
Author(s):  
A. L. Balk ◽  
K-W. Kim ◽  
D. T. Pierce ◽  
M. D. Stiles ◽  
J. Unguris ◽  
...  

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