noise of hot electrons in anisotropic semiconductors in the presence of a magnetic field
DESCRIPTION
Noise of hot electrons in anisotropic semiconductors in the presence of a magnetic field. Francesco Ciccarello in collaboration with: S. Zammito and M. Zarcone CNISM & Dipartimento di Fisica e Tecnologie Relative, University of Palermo (Italy). - PowerPoint PPT PresentationTRANSCRIPT
Noise of hot electrons in anisotropic semiconductors
in the presence of a magnetic field
Francesco Ciccarello in collaboration with:
S. Zammito and M. Zarcone
CNISM & Dipartimento di Fisica e Tecnologie Relative, University of Palermo (Italy)
UPON 2008, École Normale Supérieure de Lyon (France), June 2–6, 2008
a sketch of this work
in an anisotropic seminconductor:how hot-electron velocity fluctuations are affected by
the presence of a static magnetic field?
1. the relative importance of noise can be reduced
2. partition noise can be strongly attenuated
3. a simultaneous increase of conductivity can take place
2
problem
our outcomes
t
t
l
l
m
k
m
k
22)(
2222 k
conduction band of Si
3
3 pairs of energetically-equivalent
ellipsoidal valleys along:
<100> (“valleys 1” )
<010> (“valleys 2” )
<001> (“valleys 3” )
t
yz
l
x
m
k
m
k
22)(
2222 k
electrons’ inertia does depend on the direction and valleys
ml=0.916 m0 > mt=0.19 m0
t
xz
l
y
m
k
m
k
22)(
2222 k
we apply an intense electric field (~ kV/cm)
4
valleys 1 cold & less populated
valleys 2,3 hot & most populated
velocity fluctuations
5
v1x< v2x,v3x
heavy valleys 1 slow electrons
light valleys 2,3 fast electrons
v1x < vd < v2x=v3x
partition noise
in the <100> case
longitudinal velocity autocorrelation function
let us add a magnetic field in a Hall-geometry
6
B=0 B≠0
valleys1 cold & most populated hot & less populated
valleys 2,3 hot & less populated cold & most populated
Asche M and Sarbei O G, Phys. Stat. Sol. 37, 439 (1970)Asche M et al., Phys. Stat. Sol. (b) 60, 497 (1973)
also: conductivity is enhanced
EA
EH
B<001>
<010>
how are velocity fluctuations affected?
7
Ciccarello F and Zarcone M, J. Appl. Phys. 99,113702 (2006)
Ciccarello F and Zarcone, AIP Conf. Proc. 800, 492 (2005 ) Ciccarello F and Zarcone, AIP Conf. Proc. 780, 159 (2005 )
n-GaAs (isotropic)
T=77 K; stationary conditions; maximum magnetic-field strengths
allowing magnetic-field effects competing with electric-field ones
our Monte Carlo approach
8
free-flight Newtonian equation
BkvEk )(q
t
t
l
l
m
k
m
k
22)1(
2222 zyxi
m
k
i
ii ,,
)21(v
scattering processes
3 f -type intervalley processes
3 g -type intravalley processes
acoustic scattering
Hall field
we iteratively look for EH such that Ad Ev ||Raguotis R A, Repsas K K and Tauras V K, Lith. J. Phys. 31, 213 (1991)
Raguotis R, Phys. Stat. Sol. (b) 174 K67 (1992)
Brunetti R, et al., J. Appl. Phys. 52, 6713 (1981)Jacoboni C, Minder R and Majni ,J. Chem. Phys. Solids 36,1129 (1975)
regime
(valley i j)
(valley i i)
B (T)
0 2 4 6 8
rela
tive
sta
nd
ard
dev
iati
on
1.05
1.10
1.15
1.20
1.25
1.30
1.35
1.40
1.45
B (T)
0 2 4 6 8
ave
rag
e e
ne
rgy
(eV
)
0.040
0.042
0.044
0.046
0.048
0.050
0.052
0.054
0.056
0.058
0.060
B (T)
0 2 4 6 8
vari
an
ce
(1
01
4c
m2
s-2
)
1.4
1.6
1.8
2.0
2.2
2.4
B (T)
0 2 4 6 8
dri
ft v
elo
city
(10
6c
ms
-1)
8
9
10
11
12
13
central result
9
drift velocity
average energy
velocity variance
standard deviation/drift velocity
the magnetic-field action yieldsa more intense & cleaner current
~20
~%
EA=6 kV/cm
EA=10 kV/cm
EA=6 kV/cm
EA=10 kV/cm
EA=6 kV/cm
EA=10 kV/cm
EA=6 kV/cm
EA=10 kV/cm
B (T)
0 1 2 3 4 5 6 7 8 9
ave
rag
e v
elo
cit
y (1
06
cm
s-1
)
4
6
8
10
12
14
B (T)
0 1 2 3 4 5 6 7 8 9
ave
rag
e e
ne
rgy
(eV
)
0.03
0.04
0.05
0.06
0.07
B (T)
0 1 2 3 4 5 6 7 8 9
occu
patio
n pr
obab
ility
0.1
0.2
0.3
0.4
0.5
0.6
insight into the mechanism behind
10
the magnetic field increases population of high-velocity valleys
valley occupation probabilitiesvalley average
energiesvalley average velocities
valleys 1
valleys 2, 3valleys 1
valleys 2, 3
mean
EA=6 kV/cm EA=6 kV/cm valleys 2, 3
EA=6 kV/cm
valleys 1
drift velocity
isotropic case: free-flight motion
BkvEk )(q *
22
2)(
m
kk
*m
kv
0
00
00
)(
sincos)(
cossin )(
zz
CxyCy
xyCx
kk
kkkkk
kkkk
B
EmkC
*
*m
qB
A. D. Boardman et al., Phys. Stat. Sol. (a), 4, 133 (1971)
cyclotron frequencycenter magnitude
11
measures themaximum amount of gainable energy
K*-space
12
Herring-Vogt transformation
3/12*** tldzz
dzy
y
dyx
x
dx mmmk
m
mkk
m
mkk
m
mk
dispersion law in each valley
nonparabolicity effects
)(21 *
**
k
kv
dm
dm
k
2)1(
2*2
dm
** k
v
velocity vs. wavevector
Herring C and Vogt E, Phys. Rev. 101, 944 (1956)
t
t
l
l
m
k
m
k
22)(
2222 k
dm
kk
2)(
2*2*
fields*
13
in k *-space fields are valley-dependent
kjiB
kjiE
BkvEk
)(
*
*
*****
yx
d
zx
d
zy
d
z
d
y
d
x
d
mm
m
mm
m
mm
m
m
m
m
m
m
m
q
free-flight equation in each valley
isotropic
*
2*2***
B
EEmk HAC
as B grows theeffect of EH becomes
more & more significantmeasures the
maximum energy that can be gained
fields*
14
kkB
kjE
iE
*
*
*
tl
d
tl
d
t
d
t
dH
l
dA
mm
m
mm
m
m
m
m
m
m
m
kjB
kjE
iE
*
*
*
tl
d
tt
d
t
d
l
dH
t
dA
mm
m
mm
m
m
m
m
m
m
m
valleys 1 valleys 2 valleys 3
kjiBkjiE **
yx
d
zx
d
zy
d
z
d
y
d
x
d
mm
m
mm
m
mm
m
m
m
m
m
m
m
kjB
kjE
iE
*
*
*
tt
d
tl
d
l
d
t
dH
t
dA
mm
m
mm
m
m
m
m
m
m
m
t (ps)
0 1 2 3 4 5 6au
toc
orr
ela
tio
n f
un
cti
on
(1
01
4c
m2
s-2
)
-0.1
0.0
0.1
0.2
0.3
0.4
0.5
t (ps)
0 1 2 3 4 5 6
auto
corr
elat
ion
fu
nct
ion
(10
14cm
2 s-2
)
-0.1
0.0
0.1
0.2
0.3
autocorrelation functions
15
longitudinal B=0 vs. B=4.5 T
partition-noise attenuation
EA=5 kV/cm
longitudinal vs. transversal
EA=5 kV/cmB=4.5 T
partition-noise is shifted towards the transversal direction
valleys 1
valleys 3
valleys 2
is partition noise lost?
different valleys have different
transversal velocitiesB (T)
0 1 2 3 4 5
tran
sver
sal a
vera
ge v
eloc
ity (
106 c
m s
-1)
-8
-6
-4
-2
0
2
4
6
8
10
transversal average velocity
conclusions
16
∙ B can give rise to a more ordered conductive state with:
- higher mobility
- reduced importance of fluctuations
- attenuated partition noise
- moderate electron heating
open questions & outlook
17
∙ what about different Hall geometries such asEA ll <011> & B ll <100> or EA ll <111> & B ll <110>??∙ what’s the optimal geometry in order to
minimize noise?
∙ is there a statistical procedure able to filter out mere fluctuations from cyclotronic oscillations?
∙ is there a better system able to exhibit such phenomena (if possible, at room temperature)?
∙ noise spectrum analysis
thanks for your attention!