a crossover from the universality of the surface roughenings with random relaxations
DESCRIPTION
A Crossover from the Universality of the Surface Roughenings with Random Relaxations to Edwards-Wilkinson Universality. C.K.Lee and Yup Kim. Kyung-Hee Univ. DSRG. DSRG. v Abstract. - PowerPoint PPT PresentationTRANSCRIPT
A Crossover from the Universalityof the Surface Rougheningswith Random Relaxations
to Edwards-Wilkinson Universality
C.K.Lee and Yup Kim
A crossover from the Mullins-Herring (MH) universality of the surface growths with random relaxations to Edwards-Wilkinson (EW) universality is analyzed. In our model a particle in the sloped region moves downward with probability p and moves upward with probability 1-p. It is found that for the probabilities 1/2 < p < 1 the growth models follow the linear continuum growth equation with EW term and MH term.
Abstract
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zL
tfLthhW ~])]([[ 2/12
z
z
zjj
trt
trrtrG
t
rgrtxhtrxhtrG
/12
/12
/122
~),(
~)],(),([),(
Surface Width
Height-Height Correlation Function
Scaling Relations [1-2]
Normal Roughening Case )1(
Super-Roughening Case [3-6]
z
zz
trt
trtrtrG
/12
/1/2
~),(
)1(
zz
zzz
trtrrt
trtrrtrtrfrtrG
/12/122
/1/12/22
;/
;/)(/~,
zz
zz
trBtr
trAtrrtrG
/1/1
/1/12
;)/ln(2
;)/ln()/),(ln(
z
z
LtL
LtttLW
~),( /z
Introduction
2
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Continuum Equation and Conserved Growth(CG) Models
),()(),( 224
42
2 thhht
thx
x
)()(2),(),( ttxxDtxtx
Edwards-Wikinson (EW) Equation [7]
0,0 42
)1(2,4/1,2/1 dz
Mullins-Herring (MH) Equation[9-10]
0,0 24 )1(4,8/3,2/3 dz
[Models] Family Model[8].
[Models]Das Sarma - Tamborenea Model [11]Larger Curvature Model [12]Restricted Curvature Model [13]
3
Motivation
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1. Nonconserved noise 를 갖 는 Krug 모 형 이 어떠한 보편성군에 속하는지 알아본다 .
2. Krug 모 형 에 서 의 확 산 기 작 은 Family 모형에서의확산기작과 같이 높이차에 의하여 결정되므로 변형된 Family 모형을 통하여 CG 모형들에서 MH 보편성군과 EW 보편성군을 구분할 수 있는 기작을 연구한다 .
Measuerment of 2[14]
m
mJ
)(
2
0J
0J
hJ 22
(Average Slope m)
4
Krug Model with Nonconserved Noise(KMNC)
p1-p
p=0.5 : Krug model[15] (with Conserved Noise)
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Models
1. 임의로 하나의 column x 를 선택한다 .2. 만약 또는 인 조건을 만족하면 column x 의 높이를 1 증가시킨다 .
3. 만약 2 의 조건을 만족하지 않으면 nearest neighbor column 의 높이를 증가시킨다 . 이때 downward probability 를 p 로 하고 , upward probability 는 1-p 로 한다 . 또는
1),(),1( txhtxh 1),(),1( txhtxh
1)()( xhxh
1)1()1(1)1()1( xhxhxhxh
5
Modified Family Model(MFM)
p p
1-p1-p
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p=1 : Family Model
1. 임의로 하나의 column x 를 선택한다 .2. 만약 그리고 인 조건을 만족하면 column x 의 높이를 1 증가 시킨다 .
3. 만약 2 의 조건을 만족하지 않으면 nearest neighbor column 의 높이를 증가시킨다 . 이때 downward probability 를 p 로 하고 , upward probability 는 1-p 로 한다 . 또는
),(),1( txhtxh ),(),1( txhtxh
1)()( xhxh
1)1()1(1)1()1( xhxhxhxh
6
ln t
2 4 6 8
ln W
0
1
2
3
4
)(05.037.1
)(07.042.1
KMNC
MFM
)(01.037.0
)(01.038.0
KMNC
MFM
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ln L
3 4 5 6
ln W
1
2
3
4
5
6
7
MFMKMNC
Results for KMNC & MFM (p=0.5)
7
m
0.05 0.10 0.15 0.20 0.25 0.30 0.35
J(m
)
-0.0003
-0.0002
-0.0001
0.0000
0.0001
0.0002
0.0003
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=1.84, 2=3.00(MFM)
=1.75, 2=3.00(KMNC)
0)(
2
m
mJ
ln r / t 0.25
-2 0 2 4
ln G
/ r
3
-15
-10
-5
0
t=501t=701t=901
ln r / t 0.25-2 -1 0 1 2 3 4 5
ln G
/ r
3
-14-12-10
-8-6-4-2024
Measuerment of 2
8
Crossover from MH to EW
ln t
0 1 2 3 4 5 6 7 8 9
ln W
0
1
2
3
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ln t
0 1 2 3 4 5 6 7 8 9
ln W
-1
0
1
2
3
4
p=0.50p=0.55p=0.60p=0.70p=0.80p=0.90p=1.00
3/8
1/4
p=0.55
MFM (modified Family model)
275.0
377.0
9
ln t
0 1 2 3 4 5 6 7 8 9
ln W
-1
0
1
2
3
4
p=0.50p=0.55p=0.60p=0.70p=0.80p=0.90p=1.00
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KMNC
1/4
3/8
10
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Measuerment of 2
m
0.00 0.05 0.10 0.15 0.20 0.25
J(m
)
-0.014
-0.012
-0.010
-0.008
-0.006
-0.004
p=0.55p=0.60p=0.65p=0.70
m
0.00 0.05 0.10 0.15 0.20 0.25
J(m
)
-0.014
-0.012
-0.010
-0.008
-0.006
-0.004
-0.002
0.000
.0.002
p=0.55p=0.60p=0.65p=0.70
p 2
0.55 0.025
0.60 0.062
0.65 0.65
0.70 0.80
KMNC
MFM
22 10
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Summary and Discussion
1. p=1/2
2.p>1/2 p 의 증가에 따라 MFM 은
로의 crossover time 이 점점 짧아진다 . 그러나 KMNC 의 경우는 crossover behavior 가 단순하지 않다 .
3. P 에 따른 의 변화를 보면 p>1/2 인 경우 MFM 은 인 값을 가진다 . 반면 KMNC 의 경우 p 가 0.5 근처에서는 가 매우 작은 값을 보여 복잡한 교차거동을 암시하고 있다 .
4. p= 1/2 인 경우 MH 보편성군에 속하고 , p > 1/2인 경우 두 모형 모두 궁극적으로는 EW 보편성군에 속할 것이라 예상된다 .
12
MFM 07.042.1 01.038.0 1.84KMNC 05.037.1 01.037.0 1.75
4/18/3
02 2
2
[1] J. Krug and H. Spohn in Solids Far From Equilibrium : Growth, Morphology and Defects, edited by C. Godreche (Cambridge University Press, New York, 1991)
[2] F.Famil and T. vicsek, J.Phys. A 18,L75(1985)[3] J. M. Kim and J. M. Kosterlitz. Phys. Rev. Lett. 62. 2289[4] J. G. Amar, P.-M. Lam, and F. Family, Phys. Rev. E 47,
3242(1993)[5] M. Schroeder, M. Siegert, D. E. Wolf, J. D. Shore, and
M. Plischke, Europhys. Lett. 24, 563 (1993)[6] S. Das Sarma, S. V. Ghaisas, and J. M. Kim, Phys. Rev.
E 49, 122(1994)[7] S. F. Edwards, F. R. S., and D. R. Wilkinson Proc. R. So
c. Lond. A 381, 17 (1982)[8] F. Family, J. Phys. A:Math. Gen. 19 (1986)[9] C. Herring, J. Appl. Phys. 21, 301 (1950)[10] W. W. Mullins, J. Appl. Phys. 28, 333 (1957); W. W.
Mullins, J. Appl. Phys. 30, 77 (1959)[11] S. Das Sarma and P. I. Tamborenea, Phys. Rev. Lett. 66, 325 (1991)
[12] J. M. Kim and S. Das Sarma. Phys. Rev. Lett. 72, 2903 (1994); J. M. Kim. Phys. Rev. E 52. 6267 (1995)
[13] J. M. Kim and S. Das Sarma, Phys. Rev. E 48, 2599 (1993)
[14] J. Krug, M. Plischke and M. siegert, Phys. Rev. Lett. 70, 3271
[15] J. Krug, Adv. Phys. 46, 139 (1997)
References
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