Carrier induced ferromagnetism in Mn-doped ZnO: Monte Carlo simulations

2008 ◽  
Vol 92 (15) ◽  
pp. 152511 ◽  
Author(s):  
T. M. Souza ◽  
I. C. da Cunha Lima ◽  
M. A. Boselli
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Simulations ◽  
Doped Zno ◽  
Mn Doped

Magnetic Phase Diagram of Transition Metal Doped ZnO from Density Functional Theory Calculations and Monte Carlo Simulations

2010 ◽  
Vol 1260 ◽  
Author(s):  
Sanjeev K. Nayak ◽  
Heike C. Herper ◽  
Peter Entel
Keyword(s):  
Monte Carlo ◽  
Curie Temperature ◽  
Monte Carlo Simulations ◽  
Ab Initio ◽  
Density Functional ◽  
Magnetic Phase Diagram ◽  
Density Functional Theory Calculations ◽  
Antiferromagnetic Coupling ◽  
Doped Zno ◽  
Co Concentrations

AbstractTransition metals doped ZnO are possible candidates for multiferroics. Here, we have investigated the evolution of ferromagnetism due to Co dopants. The magnetic properties have been studied for Co concentrations from 0 to 100% by using ab-initio methods, i.e., KKR Green's function techniques. In order to estimate the Curie temperature we have performed Monte Carlo simulations with ab-initio calculated exchange parameters.From our calculations the onset of ferromagnetism occurs between 5 to 20% of Co depending on the numerical details of KKR method used. For Co concentrations larger than 50% the system is dominated by antiferromagnetic coupling and no Curie temperature can be obtained.

Magnetic properties of Mn doped ZnO: A Monte Carlo simulation analysis

Vacuum ◽  
2021 ◽  
Vol 183 ◽  
pp. 109786
Author(s):  
A. Bandyopadhyay ◽  
N. Gupta ◽  
M. Nath ◽  
S. Chakraborty ◽  
S. Sutradhar
Keyword(s):  
Monte Carlo Simulation ◽  
Monte Carlo ◽  
Magnetic Properties ◽  
Simulation Analysis ◽  
Doped Zno ◽  
Mn Doped

Cation dopant distributions in nanostructures of transition-metal doped ZnO: Monte Carlo simulations

2009 ◽  
Vol 79 (7) ◽  
Author(s):  
Timothy C. Droubay ◽  
Tiffany C. Kaspar ◽  
Bryce P. Kaspar ◽  
Scott A. Chambers
Keyword(s):  
Monte Carlo ◽  
Transition Metal ◽  
Monte Carlo Simulations ◽  
Doped Zno ◽  
Metal Doped

scholarly journals Monte Carlo simulation of magnetic phase transitions in Mn-doped ZnO

2011 ◽  
Vol 323 (23) ◽  
pp. 3001-3006 ◽  
Author(s):  
L.B. Drissi ◽  
A. Benyoussef ◽  
E.H. Saidi ◽  
M. Bousmina
Keyword(s):  
Monte Carlo Simulation ◽  
Monte Carlo ◽  
Phase Transitions ◽  
Magnetic Phase ◽  
Magnetic Phase Transitions ◽  
Doped Zno ◽  
Mn Doped

Low-voltage EDS of magnesium ferrite Dendrites in a FEG-SEM

1996 ◽  
Vol 54 ◽  
pp. 478-479
Author(s):  
Matthew T. Johnson ◽  
Ian M. Anderson ◽  
Jim Bentley ◽  
C. Barry Carter
Keyword(s):  
Monte Carlo ◽  
Quantitative Analysis ◽  
Monte Carlo Simulations ◽  
Cross Section ◽  
Spatial Resolution ◽  
Low Voltage ◽  
Magnesium Ferrite ◽  
X Ray ◽  
Interaction Volume ◽  
Ferrite Spinel

Energy-dispersive X-ray spectrometry (EDS) performed at low (≤ 5 kV) accelerating voltages in the SEM has the potential for providing quantitative microanalytical information with a spatial resolution of ∼100 nm. In the present work, EDS analyses were performed on magnesium ferrite spinel [(MgxFe1−x)Fe2O4] dendrites embedded in a MgO matrix, as shown in Fig. 1. spatial resolution of X-ray microanalysis at conventional accelerating voltages is insufficient for the quantitative analysis of these dendrites, which have widths of the order of a few hundred nanometers, without deconvolution of contributions from the MgO matrix. However, Monte Carlo simulations indicate that the interaction volume for MgFe2O4 is ∼150 nm at 3 kV accelerating voltage and therefore sufficient to analyze the dendrites without matrix contributions.Single-crystal {001}-oriented MgO was reacted with hematite (Fe2O3) powder for 6 h at 1450°C in air and furnace cooled. The specimen was then cleaved to expose a clean cross-section suitable for microanalysis.

MONTE CARLO SIMULATIONS OF ELECTRON DRIFT VELOCITIES IN THE NOBLE GASES AND THEIR MIXTURES

1979 ◽  
Vol 40 (C7) ◽  
pp. C7-63-C7-64
Author(s):  
A. J. Davies ◽  
J. Dutton ◽  
C. J. Evans ◽  
A. Goodings ◽  
P.K. Stewart
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Simulations ◽  
Noble Gases ◽  
Electron Drift
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