modeling of electronic structure and transport · center for materials for information technology...
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Center for Materials for Information Technologyan NSF Materials Science and Engineering Center
Modeling of Electronic Structure and Transport
Bill ButlerJulian Velev
Amrit BandyopadhyaySanjoy Sarker
Center for Materials for Information Technologyan NSF Materials Science and Engineering Center
CrO2, TiO2 and RuO2 have the Rutile Structure(tetragonal with 2 forumla units/cell)
Lattice constants differ by less than 4%.
Center for Materials for Information Technologyan NSF Materials Science and Engineering Center
Electronic Structure of CrO2, TiO2 and RuO2
EF
•RuO2 is a non-magnetic metal
•TiO2 is an insulator
•CrO2 is a half-metalic ferromagnet
•Multilayers with CrO2 electrodes and TiO2 or RuO2 spacer layers should have interesting transport properties.
EF
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Solid Solutions of Ilmenite (FeTiO3) and α-Hematite (Fe2O3)
Ti
Fe
O FeO
Hematite
•Hematite has corundum structure.
•Replacing alternate layers of Fe atoms by Ti yields Ilmenite.
•Continuous solid solutions of composition:(1-x)(FeTiO3)·x (Fe2O3) can be grown.
•Disorder on cation lattice affects magnetic and electrical properties.Ilmenite
Center for Materials for Information Technologyan NSF Materials Science and Engineering Center
Related systems•Ti2O3 has corundum structure and is antiferromagnetic!•0.2µB/Ti•TN = 660K•Some other corundum/ilmenite systems:
•Cr2O3•V2O3•VTiO3•MnTiO3•CoTiO3•NiTiO3
•LiNbO3•Al2O3
Center for Materials for Information Technologyan NSF Materials Science and Engineering Center
Calculated Electronic Structure of α-Hematite
-10
-5
0
5
10
-4 -2 0 2 4
DO
S (S
tate
s/eV
)
Energy (eV)
DOS for HematiteEFMajority
Minority-4-3-2-101234
-4 -3 -2 -1 0 1 2 3 4 5
DO
S (S
tate
s/eV
)
Energy (eV)
d-DOS for Fe Atom
EFMajority
Minority
First-Principles LSDA calculations predict that α-Hematite is an anti-ferromagnetic insulator. The majority DOS for an Fe atom equals minority DOS for Fe atom on neighboring layer. Calculated moment is ~ 4µB/Fe.
Center for Materials for Information Technologyan NSF Materials Science and Engineering Center
a
b
b
a
a
b
Ilmenite-Hematite Solid Solutions30 atom supercell calculations
95
100
105
110
115
120
125
4 4.5 5 5.5 6 6.5 7
Inte
grat
ed D
OS
Energy (eV)
EF
Integrated DOS for Fe11TiO18
Minority
Majority
no Ti
Ti impurity adds 4µB and 1 electron.
Center for Materials for Information Technologyan NSF Materials Science and Engineering Center
The calculated maximum net moment of 4µB/Ti agrees qualitatively with experiment for ordered ilmenite-hematite
solid solutions.
Bozorth et al. 1957
Annealed
Quenched
Ilmenite magnetic structure
Center for Materials for Information Technologyan NSF Materials Science and Engineering Center
Impurities in α-Fe2O3
Sc Ti V Cr Mn Fe Co Ni Number of up electrons
102 102 102 102 102 102 103 104
Number of down electrons
97 98 99 100 101 102 102 102
Magnetic moment
5 4 3 2 1 0 1 2
Number of p-type carriers
0 0 Gap state
0 Gap state
0 0 1
Number of n-type carriers
0 1 Gap state
0 Gap state
0 Gap state
0
Center for Materials for Information Technologyan NSF Materials Science and Engineering Center
Electronic Structure Calculations
• DFT seems to work well for Rutile oxides predicting structure and properties correctly– Future: Transport properties of multilayers
• For corundum-structure TM oxides, DFT predicts physical and magnetic structure (including magnetic anisotropy and tendency for Ti to sit on alternate layers) correctly.– Future: Investigate transport properties
• Future –– Magnetic anisotropy and magnetostriction.– Layered systems (continuation of established work)
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Spin Transport in Confined Geometries
Niwires
1-10 nm
• Nanochannels– CPP GMR
with Confined Current Paths
Insulating layer with nanochannels Pinned layer
Electrodes
Free layer
• Nanowires– Spin transfer
effect
Cu lead
CoJσ
Cu lead
Co
• Nanocontacts– Very large
magnetoresistancefrom nanoscaleconstrictions
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Transport Modeling Tools
• Classical effective circuit model – Is being used to investigate CCP-CPP in collaboration
with H. Fujiwara and K. Nagasaka.• First-principles based semi-classical Boltzmann
approach• Semi-empirical tight-binding approach• Layer Korringa-Kohn-Rostoker Approach
– Kubo (Quantum Linear Response)– Landauer (Conductance from Transmission Probability)
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Classical Effective Circuit Model for CPP
•Each element (nm-scale) is replaced by four (or six) resistors for each spin channel.
•Interfacial resistances modeled by effective resistors.
•Allows treatment of two or three dimensional current flow as needed for CCP.
V2
V1
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Why is a classical resistor model sensible for CPP?The solution to the CPP-BTE differs from the Series Resistor
model in two ways.
• There is an interfacial resistance that arises from electron reflection at the interfaces.
• There are exponential terms in the current induced by the interfacial reflections• Empirical interfacial resistance would include effects of disorder at interface.
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First-Principles Based Semi-Classical Transport Theory
Co CoCu
τ⇑ τ⇑
τ⇓ τ⇓τ
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P PS S
PR
T
S = R + T
• Electrons are treated as classical objects that obey Fermi statistics and correct quantum dispersion.
• First-Principles parameters:– Fermi surface, kz– electron velocity, vx,vy,vz– Transmission and Reflection
Probabilities, Tij and Rij
• Empirical Parameters:– Electron lifetimes: τ– P and S are probabilities for
an electron to reflect specularly at the boundaries and interfaces respectively.
Center for Materials for Information Technologyan NSF Materials Science and Engineering Center
Current work emphasizes calculation of specularity parameters
in
TR
RS=SRTS=ST
• The scattered wave will have specular and diffuse components. – Specular component conserves k||
• Usual Assumption: – A fraction S of reflected and
transmitted beams at interfaces is specular
– A fraction P of reflected wave at boundary is specular
– The diffusely scattered electrons are scattered isotropically
– These assumptions are not accurate
in
RS=P
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Atom Probe Field Ion Microscopy supports a model for interfaces in which layers interfaces are structurally regular, but interdiffused.
Co-Cu multilayer
D. J. Larson and N. Tabat -SeagateNi-Co-Cu multilayer
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If we can obtain the composition of each layer, either from experiment or from analysis of simulations, how do we obtain
S, the interfacial diffuse scattering parameter?
• Treat the disordered layers assubstitutional alloys.
• Treat the disorder using the coherent potential approximation.
• Obtain T and R in the presence of the disordered interface
Center for Materials for Information Technologyan NSF Materials Science and Engineering Center
Independent Configuration Averaging of retarded and advanced Green functions is equivalent to retaining only specular part of the transmitted or
reflected beams.
CopperCobalt
' '|| || || ||
' '|| || || ||
' '|| || || ||
( , , ) ( , , ) ( , ) 0, 0
( , , ) ( , , ) ( , , ) ( , , ) vertex corrections
( , ) ( , ) diffuse transmission
G I J k G I J k T k k I J
G I J k G I J k G I J k G I J k
T k k k kδ
+ −
+ − + −
∝ < >
≈ +
∝ +
Center for Materials for Information Technologyan NSF Materials Science and Engineering Center
In the free electron limit, this approach agrees with the approach of Dugaev et. al. PRB -1995. However, the free electron approximation is not accurate even for the
majority channel.Sp
ecul
arity
Para
met
er fo
r Tra
nsm
issi
on
0.9989
0.999
0.9991
0.9992
0.9993
0.9994
0.9995
0.9996
0
Comparison Between Analytic Solution and CPA Result for Free Electron System
's.cocu.mixstep.bhb.free''s_fit5.cocumix.dat'
0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8
kx
Center for Materials for Information Technologyan NSF Materials Science and Engineering Center
Calculated Effect of Disordered Interface on transmission Probability for Majority Co Bloch electrons incident on Cu (100)
0.9
0.91
0.92
0.93
0.94
0.95
0.96
0.97
0.98
0.99
1
0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8
Tran
smis
sion
Pro
babi
lity
kx
Transmission Probability vs. k||
no intermixing
10%intermixing
20%intermixing
30% intermixing50%intermixing
• Transmission probability in majority channel is much larger than expected from free electron model for perfect interface.
• S parameter should depend on k||.• Two interfacial layers are intermixed in this example.
Center for Materials for Information Technologyan NSF Materials Science and Engineering Center
Calculated Reflection Probability for Majority Co Bloch electrons incident on Cu (100)
• S can be quite different for reflected and transmitted beams.• Disorder can actually increase probability of specular reflection.• Multiple reflections become important for higher intermixing.
1e-06
1e-05
0.0001
0.001
0.01
0.1
1
0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8
Ref
lect
ion
Prob
abili
ty
kx
Reflection at a Majority Co-Cu Interface
0.00.10.20.30.40.5
Fraction two layers intermixed
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A small amount of disorder can cause a large amount of diffuse scattering in the minority channel
• Two atomic layers are assumed to be 10% interdiffused.
0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
1
0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8
Tran
smis
sion
Pro
babi
lity
kx
Effect of Disorder on Minority Band by Band Transmission
Band-1
No intermixing
10% intermixing
Band-2
Band-3
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The reflection probability is also sensitive to disorder in the minority channel.
0
0.2
0.4
0.6
0.8
1
0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8
Ref
lect
ion
Prob
abili
ty
kx
Effect of 10% Disorder on Minority Reflection
no mixing
10% mixing on two layers
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Classical and Semiclassical Models
• Classical model– Tool ready for use by Fujiwara group
• Semiclassical Model– Calculation of specular beam for disordered interface understood
• Test using semi-empirical tight-binding approximation– Use tight-binding approximation to simulate diffuse scattering
from disordered interface• Test CPA based theory for diffuse scattering
– Incorporate into semi-classical Boltzmann transport equation
Center for Materials for Information Technologyan NSF Materials Science and Engineering Center
The semi-empirical tight-binding model will be used to treat nanocontacts
Nanocontact
Center for Materials for Information Technologyan NSF Materials Science and Engineering Center
The Layer KKR Approach allows first-principles based calculation of transport properties of magnetic multilayers
with non-collinear moments.
Nanowire
•Both Layer KKR and tight-binding will be applied to treat spin-transfer. We will calculate the spin-flux. Pieter Visscher’s group will use the calculated spin-flux as input to calculate how magnetization changes.