SlideShare a Scribd company logo
1 of 9
Download to read offline
Journal of Natural Sciences Research www.iiste.org 
ISSN 2224-3186 (Paper) ISSN 2225-0921 (Online) 
Vol.3, No.15, 2013 
Study of Anisotropy Superconductor using Time-Dependent 
Ginzburg-Landau Equation 
Fuad Anwar1,2*, Pekik Nurwantoro1, Arief Hermanto1 
1. Department of Physics, University of Gadjah Mada, Sekip Utara, Bulaksumur, Yogyakarta 55281, 
Indonesia 
2. Department of Physics, University of Sebelas Maret, Jl. Ir. Sutami 36A, Kenthingan, Surakarta 57126, 
Indonesia 
* E-mail of the corresponding author: fuada70@yahoo.com 
Abstract 
We have observed an anisotropy superconductor which was immersed in vacuum medium in presence of an 
applied magnetic field. The anisotropy properties of superconductor were related with two principal values of the 
effective mass of the Cooper pairs, namely mc along the x-axis and mab in the yz-plane. Based on the time-dependent 
Ginzburg-Landau and yU methods, the problem was solved and made to be the numerical simulation. 
From study using this numerical simulation, we can find that the anisotropy properties can make the critical field 
to be lower or higher. 
Keywords: anisotropy, superconductor, time-dependent Ginzburg-Landau 
1. Introduction 
It is well known that the Time Dependent Ginzburg - Landau (TDGL) equations can be used to study the 
dynamics of superconductivity phenomenon (Tinkham 1996; Du 2005). These equations have nonlinear nature, 
so it will give results more completely to solve them numerically (Du 2005). One of the numerical solutions has 
been developed using the gauge invariant variables technique or to be called yU method (Bolech et al. 1995; 
Gropp et al. 1996; Winiecki & Adams 2002). In the last decade, the solution of TDGL equations using yU 
method has successfully been used to study the dynamics of superconductivity phenomenon in thin films (Barba 
et al. 2007; Barba et al. 2008; Barba-Ortega & Aguiar 2009; Barba-Ortega et al. 2010; Barba-Ortega et al. 2012; 
Barba-Ortega et al. 2013; Wisodo et al. 2013). However, these studies considered the superconductors having 
isotropy properties. 
It is also well known that the high Tc superconductors have anisotropy properties (Tinkham, 1996). These 
superconductors are viewed as the stack of layers, each layer comprises the ab planes and the c axis is normal to 
them. The effective mass of the Cooper pairs is different when measured in the ab planes or along the c axis. The 
results in earlier papers show that the anisotropy properties have influence on superconductivity phenomenon 
(Hao & Hu 1996; Chapman & Richardson 1998; Achalere & Dey 2008). 
In this paper, we study the dynamics of superconductivity phenomenon in an anisotropy superconductor using 
the TDGL equations and yU methods. We describe the theoretical formalism and numerical method used for 
solving the problem in section 2. The results and their analysis are discussed in section 3. Finally, we conclude in 
section 4. 
2. Numerical Methods 
2.1 The Time-dependent Ginzburg-Landau Equations 
The time-dependent Ginzburg-Landau (TDGL) equations are : 
m 
y y y y y s 
99 
(1) 
(2) 
e 
i 
ö 
æ 
ö 
( ) ( ) ( t ) ( t ) T ( t ) t ( t ) 
m 
Φ t t 
e 
i 
æ 
¶ 
m D t 
s 
s 
s 
s 
, , ( ) , ( , ) , 
2 
, , 
2 
2 
2 2 2 
r r r r r A r r y y b y a y y - + ÷ ÷ø 
ç çè 
- Ñ = ÷ ÷ø 
ç çè 
+ 
¶ 
h 
h 
h 
h 
( ( ) ( )) 
Ñ´ Ñ´ - 
A r H r 
( ) ( ) ( ) ( ) ( ) ( ) ( ) ( ) 
ö 
÷ø 
æ 
çè 
¶ 
÷ø 
ö 
¶ 
+ - Ñ - æ 
e 
= Ñ - Ñ - 
çè 
t 
t 
t t Φ t 
ie 
t t t t 
s 
m i 
t t 
s 
s 
ext 
, 
, , , 
2 
, , , , 
2 
, , 
1 
2 
0 
0 
A r 
r r r r r A r r 
m 
h 
h
Journal of Natural Sciences Research www.iiste.org 
ISSN 2224-3186 (Paper) ISSN 2225-0921 (Online) 
Vol.3, No.15, 2013 
where y is order parameter, A and Hext denote the vector potential and an external magnetic field, es and ms are 
the effective charge and the effective mass of the Cooper pairs, a dan b are phenomenological parameters, D is a 
phenomenological diffusion constant, F and s are the electrical potential and conductivity (Bolech et al. 1995; 
Tinkham 1996; Gropp et al. 1996; Winiecki & Adams 2002). 
In this study, we considered an anisotropic superconductor which is immersed in vacuum medium in presence of 
an applied magnetic field (The figure 1). Here, an anisotropic superconductor has layered structures, so it has 
two principal values of ms, D and s, namely : mc, Dc and sc 
ö 
æ 
¶ 
2 2 
ö 
æ 
¶ 
y y 
2 
2 2 
2 2 2 2 
ö 
æ 
¶ 
y y ay by y 
ö 
æ 
¶ 
2 2 
2 2 2 2 
æ 
¶ 
æ 
¶ 
- 
¶ 
¶ 
ö 
¶ 
- 
y x y x 
100 
along the x-axis and mab, Dab and sab in the yz-plane. 
The applied magnetic field is assumed in the z-direction, time-dependent, and spatially uniform, so we have 
Ñ´Hext(t)=0, B=Bz(x,y,t)z and A=Ax(x,y,t)x+Ay(x,y,t)y. 
Figure. 1 An anisotropy superconductor in presence of an applied perpendicular uniform magnetic field 
If we apply the previous assumption to the time-dependent Ginzburg-Landau, we can obtain : 
(3) 
(4) 
æ 
¶ 
m m 
e 
e 
A 
¶ 
A 
s 
æ 
æ 
¶ 
¶ 
æ 
¶ 
Then, we scale y in y0=(|a|/b)½, t in tc 
= xc 
ö 
A 
A 
¶ 
¶ 
2/Dc, x and y in xc 
2 
ö 
¶ 
+ 
¶ 
+ 
ö 
A 
¶ 
Φ 
A 
¶ 
Φ 
ö 
æ 
ö 
ö 
æ 
ö 
=(ћ2/2mc|a|)½, Ax and Ay in A0x=μ0Hc2c xc 
, F in 
F0= xc 
A0x/ tc 
, sc 
and sab in s0c=1/( μ0 kc 
2Dc), and we choose F =0, so we can rewrite equations (3) and (4) in the 
following form : 
superconductor 
x 
z 
y 
Hext(t) 
y y ay by y 
2 2 
- + ÷ ÷ø 
ç çè 
- 
¶ 
+ ÷ø 
çè 
- 
¶ 
+ 
- + ÷ ÷ø 
ç çè 
- 
¶ 
+ ÷ø 
çè 
- 
¶ 
= 
÷ø 
çè 
+ 
¶ 
+ ÷ø 
çè 
+ 
¶ 
y 
s 
ab 
x 
s 
ab 
y 
s 
c 
x 
s 
c 
s 
ab ab 
s 
c c 
A 
e 
i 
m y 
A 
e 
i 
m x 
A 
e 
i 
m y 
A 
e 
i 
m x 
Φ 
e 
i 
m D t 
Φ 
e 
i 
m D t 
h 
h 
h 
h 
h 
h 
h 
h 
h 
h 
h 
h 
y 
t 
y 
A y 
ie 
im y y 
x 
t 
x 
A x 
ie 
im x x 
y 
y 
x 
x 
x 
y 
x 
y 
y 
y ab 
s 
ab 
x 
x c 
s 
c 
s 
ˆ ˆ 
2 
2 
ˆ ˆ 
2 
2 
ˆ 
1 
ˆ 
1 
2 
2 
0 0 
÷ ÷ 
ø 
ç ç 
è 
¶ 
¶ 
- ÷ ÷ø 
ç çè 
- 
¶ 
- 
¶ 
+ 
÷ø 
çè 
¶ 
¶ 
- ÷ø 
çè 
- 
¶ 
- 
¶ 
= 
÷ ÷ 
ø 
ç ç 
è 
¶ 
¶ 
¶ 
- ÷ ÷ 
ø 
ç ç 
è 
¶ 
¶ 
¶ 
y s 
y 
y 
y 
y 
y s 
y 
y 
y 
y 
h 
h 
h 
h
Journal of Natural Sciences Research www.iiste.org 
ISSN 2224-3186 (Paper) ISSN 2225-0921 (Online) 
Vol.3, No.15, 2013 
æ + 
+ ÷ø 
2 2 
2 2 
ö 
æ 
ö 
æ + 
= 
ö 
e e 2 
¶ 
æ 
¶ 
¶ 
æ + 
1 1 1 m D iA 
÷ + - ÷ø 
¶ 
c m 2m 
m = = 
l 
k = = 
c x 
Hc = Hc = 
a k 
2c c ab ab k 
l 
x 
2 = = = ab 
= = 
m 
2 
2 
2 
m Hc 
ab 
D D 
s 
ab 
s 
ò x x + = - 
( ( ) ) x y 
x 
i j U i A y d i N j N i 
, ò h h + = - 
exp , with = 1,2,…, +1 and = 1,2,…, 1 
- + 
y y y 
U t t t U t t 
( ) ( ) 2 ( ) ( ) ( ) 
+ - - 
, 1, , 1, 1, 
2 
x 
y y y 
æ 
æ 
- + 
U t t t U t t 
t 
, , 1 , , 1 , 1 
ö 
101 
(5) 
(6) 
y e 
¶ 
A 
¶ 
A 
In equations (5) and (6), we define : 
(7a) 
(7b) 
(7c) 
(7d) 
(7e) 
(7f) 
(7g) 
e 
ö 
¶ 
- 
A 
¶ 
- 
¶ 
A 
A 
¶ 
A 
1 
ö 
æ 
¶ 
ö 
¶ 
æ 
¶ 
æ 
¶ 
ö 
æ 
¶ 
b 
b 
ab 
c 
m 
2 
2 
ab 
c 
ab 
ab 
c 
ab 
where x is the coherence length, l is the penetration depth, and k is the Ginzburg-Landau parameter. 
The equations (5) and (6) can be solved by the yU method (Bolech et al. 1995; Gropp et al. 1996; Winiecki & 
Adams 2002). In this method, the sample is divided into Nx x Ny cells, with mesh spacings Dx 
and Dy. At the cell, 
there are three fundamental unknowns, namely y, Ux and Uy. The yi,j is order parameter at position (xi , yj), with i 
= 1,2,…Nx+1 and j = 1,2,…,Ny+1. The Ux and Uy are the complex link variables and are related to A by : 
(8a) 
(8b) 
x 
x x j 
Using the yU method and the Euler method and taking eD = 1, es = 1, sc 
=sab = 1, the equations (5) and (6) can 
be derived in the following form : 
(9) 
y ( y y) 
e 
y 
e 
e e 
2 
2 
2 
2 
2 2 
21 
ö 
ç çè 
- 
¶ 
÷ ÷ 
ø 
ç ç 
è 
ö 
çè 
- 
¶ 
÷ ÷ 
ø 
ç ç 
è 
¶ 
÷ ÷ 
ø 
ç ç 
è 
y 
m 
m 
x 
m 
m 
m D 
y 
iA 
t x 
y 
y 
x 
x 
i A y 
i y y 
x 
y 
x 
y 
i A x 
i x x 
y 
t 
x 
t 
y x 
y c 
m 
y x 
x c 
y 
ab 
x 
c 
2 ˆ ˆ 
2 
1 
2 ˆ ˆ 
2 
ˆ ˆ 
2 2 
2 
2 2 
÷ ÷ 
ø 
ç ç 
è 
¶ 
¶ 
¶ 
+ ÷ ÷ø 
ç çè 
- 
¶ 
- 
¶ 
+ 
÷ ÷ 
ø 
ç ç 
è 
¶ 
¶ 
¶ 
- ÷ø 
çè 
- 
¶ 
- 
¶ 
= 
¶ 
+ 
¶ 
y k 
y 
y 
y 
y 
e 
y k 
y 
y 
y 
s s y 
a 
x 
a 
x 
ab 
ab 
c 
and 
2 
2 
2 
2 
2 h h 
= = 
and 
2 
0 
2 
2 
0 
2 
m a 
l 
m a 
l 
s 
ab 
s 
c 
e 
e 
and 
2 
2 
2 
2 
ab 
ab 
c 
l 
k 
x 
2 
and 
2 
0 
2 
0 
m b 
a k 
m b 
c 
c 
c 
ab 
c 
Hc 
m 
2 
2 
2 
k 
l 
x 
e 
c 
D = 2 e 
c 
es = 2 
( ( ) ) exp , with = 1,2,…, and = 1,2,…, +1 1 
, x y 
i 
y 
y y i 
y 
i j U i A x d i N j N j 
j 
y 
1 ( ) ( ) 
æ 
1 
+ 
2 
ö 
( ) ( ) 2 ( ) ( ) ( ) 
( ) ( ) 
, 
2 
2 , 
2 
2 
, , 
e 
t t t 
t t t t 
i j i j 
m 
m 
i j 
y 
i j i j i j 
y 
i j 
i j 
x 
i j i j i j 
x 
i j 
i j i j 
y y 
e 
y y 
÷ø ö 
çè æ 
- ÷ ÷ 
ø 
ç ç 
è 
+ D 
ö 
÷ ÷ ÷ 
ø 
ç ç ç 
è 
D 
+ D 
÷ ÷ ÷ 
ø 
ç ç ç 
è 
D 
+ D = + D 
+ - -
Journal of Natural Sciences Research www.iiste.org 
ISSN 2224-3186 (Paper) ISSN 2225-0921 (Online) 
Vol.3, No.15, 2013 
+ D = - D 
( ) ˆ ( ) ˆ ( ) Im ( ) ( ) ( ) ˆ 
U t t x U t x i tU t U t t t x 
, , , , , 1, 
U t (L t L t )x 
D 
t 
y 
( ) ( ) ( ) Im ( ) ( ) ( ) ˆ 
U t U t t t y 
, , 2 , , , , 1 
i j i j L =U U U U » -iDxDyB + + 
é 
× - Ñ - ψ 
¶ 
B B y x 
ext z z ¶ 
j j y = y 
y = x 
y + 
y = y 
y 
i i y = y 
y i N + 
i N exp( ) 1, 2, 1, 1 1, ext;z 
U y 
»U y 
U x 
+ 
U x 
-iDxDyH j j 
j 
j 
» - D D + + 
y 
N j U U U U i x yH 
x 
i U »U U U -iDxDyH + 
» - D D + + 
x 
i N U U U U i x yH 
102 
(10) 
(11) 
where, 
(12) 
( ) 
D 
t 
2.2 The Boundary Conditions 
In this study, we considered the superconductor is immersed in vacuum medium in presence of an applied 
magnetic field, so we have the boundary condition for y and A, namely : 
(13) 
(14) 
ù 
A 
A 
where n denotes the unit normal to the superconductor–vacuum interface. 
If we apply the previous research assumptions and scale y in y0=(|a|/b)½, x and y in xc 
=(ћ2/2mc|a|)½, Ax and Ay in 
A0x=μ0Hc2c xc 
, Bz and Bext;z in μ0Hc2c, Hz and Hext;z in 
Hc2c, then we can use the yU method and the Euler method 
to rewrite equations (13) and (14) in the following form : 
at i = 1 : 
(15a) 
at i = Nx+1 : 
(15b) 
at j = 1 : 
(15c) 
at j = Ny+1 : 
(15d) 
and 
at i = 1 : 
(16a) 
at i = Nx+1 : 
(16b) 
at j = 1 : 
(16c) 
at j = Ny+1 : 
(16d) 
x 
2.3 The Numerical Simulation 
We begin the numerical simulation with determining the value of Nx, Ny, Dx, Dy, Dt, kc 
and em . We also assume 
the initial condition of superconductor as in a perfect Meissner state, so we have Hext;z=0, yi,j = 1, Ux 
i,j=1 and 
Uy 
i,j=1. Then, Hext;z is increased linearly with time and with small intervals of DHext;z. When we have a new value 
of Hext;z , we compute the new values of yi,j, Ux 
i,j and Uy 
i,j using equations (9), (10), (11), (15) and (16). 
Using this numerical simulation, we can also make magnetization curves. Magnetization can be calculated from : 
(17) 
where Mz is scaled in Hc2c and Bz is calculated by equation (12). 
i j i j 
x 
c i j 
i j i j 
x 
i j 
x 
i j 
x 
i j 
x 
i j 
( ) ( ) ( ) 1 ˆ 
2 , , , 1 
2 
- 
D 
- 
- 
+ 
k 
y y 
( ) 
( )( ( ) ( ) 1)ˆ 
2 , , 1, 
2 
U t L t L t y 
x 
i t 
U t t U t 
i j i j 
y 
c i j 
i j i j 
y 
i j 
y 
i j 
m 
y 
i j 
y 
i j 
- 
D 
- 
D 
+ D = - 
- 
+ 
k 
y y 
e 
y 
y 
x 
x 
exp( ) , 1, i , j 
i , j 
1 i , j 
z;i, j 
0 ˆ = úû 
êë 
e 
i s n A 
h 
y 
x 
¶ 
- 
¶ 
= = ; 
( ) ( ) ( ) 1, 1, 2, t U t t j 
( ) ( ) ( ) 1, , , t U t t N j 
N j N j x x x 
( ) ( ) ( ) ,1 ,1 ,2 t U t t i 
( ) ( ) ( ) , 1 , , t U t t 
y y y i N 
y 
x 
x 
exp( ) 1, N , j 
N , j 
1 N , j 
ext;z 
x x x x 
y 
y 
x 
exp( ) ,1 i 
1,1 i 
,1 i 
,2 ext;z 
y 
y 
x 
exp( ) , 1 i 1, N 
i , N 
i , N 
ext;z 
y y y y 
z z ext z M B H ; = -
Journal of Natural Sciences Research www.iiste.org 
ISSN 2224-3186 (Paper) ISSN 2225-0921 (Online) 
Vol.3, No.15, 2013 
3. Results and Discussion 
We try to run the numerical simulation with choosing five cases, namely : em = 1.0, em = 0.5, em = 0.8, em = 1.3, 
and em = 2.0. For each case, the values of another input are the same, namely : Nx = 32, Ny = 32, Dx 
103 
=0.5, Dy 
=0.5, 
Dt = 0.010, DHext;z= 0.000001, and kc 
= 2.0. When em = 1.0, it is the isotropy superconductor case and the others 
are the anisotropy superconductor cases. 
In figure 2(a), we show the square modulus order parameter curve as a function of magnetic field - Hext 2 y in 
the five cases. We can see in the figure, the |y(x,y)|2 will completely vanish at the higher value of the applied 
field Hext;z when the value of em increases. It means, by increasing em the value of the surface nucleation field Hc3 
will be higher. 
In figure 2(b), we show the magnetization curve as a function of magnetic field M-Hext in the five cases. We can 
see, as increasing the applied field Hext;z, the magnetization curve will decrease until the minimum value, then 
increase until the zero value. When the value of em increases, we find that the minimum value will be located at 
the higher value of the applied field Hext;z if em£1 and at the lower value of the applied field Hext;z if em³1. We 
also find that the zero value will be located at the higher value of the applied field Hext;z when the value of em 
increases. It means, by increasing em, if em£1 the value of the lower critical field Hc1 will be higher and if em³1 
the value of Hc1 will be lower. It also means, by increasing em, the value of Hc3 will be higher. 
We show the distribution of the square modulus order parameter |y(x,y)|2 on sample for five cases and for the 
several values of the applied field Hext;z in the figure 3-7. From these figures, we can see that in the low applied 
field Hext;z, |y(x,y)|2 has a high value. As increasing Hext;z, the magnetic field will penetrate into sample to form 
vortex and |y(x,y)|2 will decrease. When the value of em increases, we find that |y(x,y)|2 will vanish in the higher 
value of the applied field Hext;z, the vortex is formed in the higher value of the applied field Hext;z if em£1 and in 
the lower value of the applied field Hext;z if em³1. Once again, these results mean that by increasing em, the value 
of Hc3 will be higher, if em£1 the value of Hc1 will be higher and if em³1 the value of Hc1 will be lower. 
0 0.5 1 1.5 2 2.5 3 3.5 
0 
- 0.1 
- 0.2 
Hext 
M 
(b) 
Hext 
2 y 
0 0.5 1 1.5 2 2.5 3 3.5 
0.8 
0.6 
0.4 
0.2 
0 
(a) 
Figure 2. Plot of (a) ext -H 2 y and (b) M-Hext in the cases of : 
— : em = 0.5 — : em = 0.8 — : em = 1.0 — : em = 1.3 — : em = 2.0
Journal of Natural Sciences Research www.iiste.org 
ISSN 2224-3186 (Paper) ISSN 2225-0921 (Online) 
Vol.3, No.15, 2013 
Figure 3. Plot of |y(x,y)|2 in the case of em=0.5 and (a)Hext;z=0.10 (b)Hext;z=0.20 (c)Hext;z=0.30 (d)Hext;z=0.40 
(e)Hext;z=0.50 (f)Hext;z=0.80 
The white and the black colours indicate |y(x,y)|2=1 and |y(x,y)|2=0. 
Figure 4. Plot of |y(x,y)|2 in the case em=0.8 and (a)Hext;z=0.10 (b)Hext;z=0.20 (c)Hext;z=0.30 (d)Hext;z=0.40 
(e)Hext;z=0.50 (f)Hext;z=0.80 (g) Hext;z=1.60 
The white and the black colours indicate |y(x,y)|2=1 and |y(x,y)|2=0. 
Figure 5. Plot of |y(x,y)|2 in the case of em=1.0 and (a)Hext;z=0.10 (b)Hext;z=0.20 (c)Hext;z=0.30 (d)Hext;z=0.40 
(e)Hext;z=0.50 (f)Hext;z =0.80 (g) Hext;z=1.60 (h) Hext;z=2.20. 
The white and the black colours indicate |y(x,y)|2=1 and |y(x,y)|2=0. 
104
Journal of Natural Sciences Research www.iiste.org 
ISSN 2224-3186 (Paper) ISSN 2225-0921 (Online) 
Vol.3, No.15, 2013 
Figure 6. Plot of |y(x,y)|2 in the case of em=1.3 and (a)Hext;z=0.10 (b)Hext;z=0.20 (c)Hext;z=0.30 (d)Hext;z=0.40 
(e)Hext;z=0.50 (f)Hext;z =0.80 (g)Hext;z=1.60 (h)Hext;z=2.20 (i)Hext;z=2.80. 
The white and the black colours indicate |y(x,y)|2=1 and |y(x,y)|2=0. 
Figure 7. Plot of |y(x,y)|2 in the case of em=2.0 and (a)Hext;z=0.10 (b)Hext;z=0.20 (c)Hext;z=0.30 (d)Hext;z=0.40 
(e)Hext;z=0.50 (f)Hext;z =0.80 (g)Hext;z=1.60 (h)Hext;z=2.20 (i)Hext;z=2.80 (j)Hext;z=3.50 
The white and the black colours indicate |y(x,y)|2=1 and |y(x,y)|2=0. 
4. Conclusion 
We have made a numerical solution of the Time Dependent Ginzburg - Landau (TDGL) equations for 
anisotropic superconductor using yU methods. From this simulation, if we set kc 
105 
in the fixed value and 
increase em, we will obtain the value of Hc3 will be higher and the value of Hc1 will be higher if em£1and 
will be lower if em³1. 
Acknowledgements 
We thank to Direktorat Jenderal Pendidikan Tinggi (Ditjen Dikti)-Kementerian Pendidikan dan 
Kebudayaan (Kemdikbud)-Indonesia for the support of our research through BPPS scholarship. 
References 
Achalere, A. & Dey, B. (2008). Effect of c-axis Anisotropy on the Properties of High-Tc Superconductor Films of 
Finite Thickness. Physica C, 468, 2241-2249. 
Barba, J. J., Cabral, L. R. E. & Aguiar, J. A. (2007). Vortex Arrays in Superconducting Cylinders. Physica C,
Journal of Natural Sciences Research www.iiste.org 
ISSN 2224-3186 (Paper) ISSN 2225-0921 (Online) 
Vol.3, No.15, 2013 
460-462, 1272-1273. 
Barba, J. J., de Souza Silva, C. C., Cabral, L. R. E. & Aguiar, J. A. (2008). Flux Trapping and Paramagnetic 
Effects in Superconducting Thin Films : The Role of de Gennes Boundary Conditions. Physica C, 468, 718-721. 
Barba-Ortega, J. & Aguiar, J. A. (2009). De Gennes Parameter Limit for The Occurrence of a Single Vortex in a 
Square Mesoscopic Superconductor. Physica C, 469, 754-755. 
Barba-Ortega, J., Becerra, A. & Aguiar, J. A. (2010). Two Dimensional Vortex Structures in a Superconductor 
Slab at Low Temperatures. Physica C, 470, 225-230. 
Barba-Ortega, J., Sardella, E., Aguiar, J. A. & Brandt, E. H. (2012). Vortex State in a Mesoscopic Flat Disk with 
Rough Surface. Physica C, 479, 49-52. 
Barba-Ortega, J., Sardella, E. & Aguiar, J. A. (2013). Triangular Arrangement of Defects in a Mesoscopic 
Superconductor. Physica C, 485, 107-114. 
Bolech, C., Buscaglia, G. C. & Lopez, A. (1995). Numerical Simulation of Vortex Arrays in Thin 
Superconducting Films, Physical Review B, 52, 22, R15719-R15722. 
Chapman, S. J., & Richardson, G. (1998). Motion and Homogenization of Vortices in Anisotropic Type II 
Superconductors. SIAM J. APPL. MATH., 58, 2, 587-606. 
Du, Q. (2005). Numerical Approximations of The Ginzburg–Landau Models for Superconductivity. J. Math. 
Phys., 46, 095109-1 - 095109-22. 
Gropp, W. D., Kaper, H. G., Leaf, G. K., Levine, D. M., Palumbo, M., & Vinokur, V. M. (1996). Numerical 
Simulation of Vortex Dynamics in Type-II Superconductors, Journal of Computational Physics, 123, 254-266. 
Hao, Z. & Hu, C. R. (1996). Flux Motion in Anisotropic Type II Superconductors near Hc2 with Arbitrary Vortex 
Orientation. Jurnal of Law Temperature Physics, 104, 3/4, 265-274. 
Pascolati, M. C. V., Sardella, E. & Lisboa-Filho, P. N. (2010). Vortex Dynamics in Mesoscopic Superconducting 
Square of Variable Surface. Physica C, 470, 206-211. 
Presotto, A., Sardella, E. & Zadorosny, R. (2013). Study of The Threshold Line between Macroscopic and Bulk 
Behaviors for Homogeneous Type II Superconductors. Physica C, 492, 75-79. 
Tinkham, M. (1996). Introduction to Superconductivity. (2nd ed.). New York : McGraw-Hill, Inc. 
Winiecki, T., & Adams, C. S. (2002). A Fast Semi-Implicit Finite Difference Method for The TDGL Equations. 
Journal of Computational Physics, 179, 127-139. 
Wisodo, H., Nurwantoro, P., & Utomo, A. B. S. (2013). Voltage Curve for Annihilation Dynamics of A Vortex- 
Antivortex Pair in Mesoscopic Superconductor. Journal of Natural Sciences Research, 3, 9, 140-146. 
106
This academic article was published by The International Institute for Science, 
Technology and Education (IISTE). The IISTE is a pioneer in the Open Access 
Publishing service based in the U.S. and Europe. The aim of the institute is 
Accelerating Global Knowledge Sharing. 
More information about the publisher can be found in the IISTE’s homepage: 
http://www.iiste.org 
CALL FOR JOURNAL PAPERS 
The IISTE is currently hosting more than 30 peer-reviewed academic journals and 
collaborating with academic institutions around the world. There’s no deadline for 
submission. Prospective authors of IISTE journals can find the submission 
instruction on the following page: http://www.iiste.org/journals/ The IISTE 
editorial team promises to the review and publish all the qualified submissions in a 
fast manner. All the journals articles are available online to the readers all over the 
world without financial, legal, or technical barriers other than those inseparable from 
gaining access to the internet itself. Printed version of the journals is also available 
upon request of readers and authors. 
MORE RESOURCES 
Book publication information: http://www.iiste.org/book/ 
Recent conferences: http://www.iiste.org/conference/ 
IISTE Knowledge Sharing Partners 
EBSCO, Index Copernicus, Ulrich's Periodicals Directory, JournalTOCS, PKP Open 
Archives Harvester, Bielefeld Academic Search Engine, Elektronische 
Zeitschriftenbibliothek EZB, Open J-Gate, OCLC WorldCat, Universe Digtial 
Library , NewJour, Google Scholar

More Related Content

What's hot

10.11648.j.pamj.20170601.11
10.11648.j.pamj.20170601.1110.11648.j.pamj.20170601.11
10.11648.j.pamj.20170601.11DAVID GIKUNJU
 
Various relations on new information
Various relations on new informationVarious relations on new information
Various relations on new informationijitjournal
 
Green’s Function Solution of Non-homogenous Singular Sturm-Liouville Problem
Green’s Function Solution of Non-homogenous Singular Sturm-Liouville ProblemGreen’s Function Solution of Non-homogenous Singular Sturm-Liouville Problem
Green’s Function Solution of Non-homogenous Singular Sturm-Liouville ProblemIJSRED
 
Radix-3 Algorithm for Realization of Discrete Fourier Transform
Radix-3 Algorithm for Realization of Discrete Fourier TransformRadix-3 Algorithm for Realization of Discrete Fourier Transform
Radix-3 Algorithm for Realization of Discrete Fourier TransformIJERA Editor
 
The numerical solution of helmholtz equation via multivariate padé approximation
The numerical solution of helmholtz equation via multivariate padé approximationThe numerical solution of helmholtz equation via multivariate padé approximation
The numerical solution of helmholtz equation via multivariate padé approximationeSAT Journals
 
Development of implicit rational runge kutta schemes for second order ordinar...
Development of implicit rational runge kutta schemes for second order ordinar...Development of implicit rational runge kutta schemes for second order ordinar...
Development of implicit rational runge kutta schemes for second order ordinar...Alexander Decker
 
On generating functions of biorthogonal polynomials
On generating functions of biorthogonal polynomialsOn generating functions of biorthogonal polynomials
On generating functions of biorthogonal polynomialseSAT Journals
 
optimal solution method of integro-differential equaitions under laplace tran...
optimal solution method of integro-differential equaitions under laplace tran...optimal solution method of integro-differential equaitions under laplace tran...
optimal solution method of integro-differential equaitions under laplace tran...INFOGAIN PUBLICATION
 
Exact Solutions of the Klein-Gordon Equation for the Q-Deformed Morse Potenti...
Exact Solutions of the Klein-Gordon Equation for the Q-Deformed Morse Potenti...Exact Solutions of the Klein-Gordon Equation for the Q-Deformed Morse Potenti...
Exact Solutions of the Klein-Gordon Equation for the Q-Deformed Morse Potenti...ijrap
 
On Decreasing of Dimensions of Field-Effect Heterotransistors in Logical CMOP...
On Decreasing of Dimensions of Field-Effect Heterotransistors in Logical CMOP...On Decreasing of Dimensions of Field-Effect Heterotransistors in Logical CMOP...
On Decreasing of Dimensions of Field-Effect Heterotransistors in Logical CMOP...BRNSS Publication Hub
 
A computational method for system of linear fredholm integral equations
A computational method for system of linear fredholm integral equationsA computational method for system of linear fredholm integral equations
A computational method for system of linear fredholm integral equationsAlexander Decker
 
On Fuzzy Soft Multi Set and Its Application in Information Systems
On Fuzzy Soft Multi Set and Its Application in Information Systems On Fuzzy Soft Multi Set and Its Application in Information Systems
On Fuzzy Soft Multi Set and Its Application in Information Systems ijcax
 

What's hot (20)

10.11648.j.pamj.20170601.11
10.11648.j.pamj.20170601.1110.11648.j.pamj.20170601.11
10.11648.j.pamj.20170601.11
 
Various relations on new information
Various relations on new informationVarious relations on new information
Various relations on new information
 
Further Generalizations of Enestrom-Kakeya Theorem
Further Generalizations of Enestrom-Kakeya TheoremFurther Generalizations of Enestrom-Kakeya Theorem
Further Generalizations of Enestrom-Kakeya Theorem
 
Solution homework2
Solution homework2Solution homework2
Solution homework2
 
Green’s Function Solution of Non-homogenous Singular Sturm-Liouville Problem
Green’s Function Solution of Non-homogenous Singular Sturm-Liouville ProblemGreen’s Function Solution of Non-homogenous Singular Sturm-Liouville Problem
Green’s Function Solution of Non-homogenous Singular Sturm-Liouville Problem
 
Radix-3 Algorithm for Realization of Discrete Fourier Transform
Radix-3 Algorithm for Realization of Discrete Fourier TransformRadix-3 Algorithm for Realization of Discrete Fourier Transform
Radix-3 Algorithm for Realization of Discrete Fourier Transform
 
The numerical solution of helmholtz equation via multivariate padé approximation
The numerical solution of helmholtz equation via multivariate padé approximationThe numerical solution of helmholtz equation via multivariate padé approximation
The numerical solution of helmholtz equation via multivariate padé approximation
 
Indefinite Integral 18
Indefinite Integral 18Indefinite Integral 18
Indefinite Integral 18
 
Development of implicit rational runge kutta schemes for second order ordinar...
Development of implicit rational runge kutta schemes for second order ordinar...Development of implicit rational runge kutta schemes for second order ordinar...
Development of implicit rational runge kutta schemes for second order ordinar...
 
Bc4301300308
Bc4301300308Bc4301300308
Bc4301300308
 
A05330107
A05330107A05330107
A05330107
 
On generating functions of biorthogonal polynomials
On generating functions of biorthogonal polynomialsOn generating functions of biorthogonal polynomials
On generating functions of biorthogonal polynomials
 
B0560508
B0560508B0560508
B0560508
 
285 294
285 294285 294
285 294
 
optimal solution method of integro-differential equaitions under laplace tran...
optimal solution method of integro-differential equaitions under laplace tran...optimal solution method of integro-differential equaitions under laplace tran...
optimal solution method of integro-differential equaitions under laplace tran...
 
Exact Solutions of the Klein-Gordon Equation for the Q-Deformed Morse Potenti...
Exact Solutions of the Klein-Gordon Equation for the Q-Deformed Morse Potenti...Exact Solutions of the Klein-Gordon Equation for the Q-Deformed Morse Potenti...
Exact Solutions of the Klein-Gordon Equation for the Q-Deformed Morse Potenti...
 
On Decreasing of Dimensions of Field-Effect Heterotransistors in Logical CMOP...
On Decreasing of Dimensions of Field-Effect Heterotransistors in Logical CMOP...On Decreasing of Dimensions of Field-Effect Heterotransistors in Logical CMOP...
On Decreasing of Dimensions of Field-Effect Heterotransistors in Logical CMOP...
 
Centros de masa
Centros de masaCentros de masa
Centros de masa
 
A computational method for system of linear fredholm integral equations
A computational method for system of linear fredholm integral equationsA computational method for system of linear fredholm integral equations
A computational method for system of linear fredholm integral equations
 
On Fuzzy Soft Multi Set and Its Application in Information Systems
On Fuzzy Soft Multi Set and Its Application in Information Systems On Fuzzy Soft Multi Set and Its Application in Information Systems
On Fuzzy Soft Multi Set and Its Application in Information Systems
 

Viewers also liked

Hodge Podge Church of Christ Goes Greenish
Hodge Podge Church of Christ Goes GreenishHodge Podge Church of Christ Goes Greenish
Hodge Podge Church of Christ Goes GreenishDavid Srygley
 
So What is Spiritual Transformation?
So What is Spiritual Transformation?So What is Spiritual Transformation?
So What is Spiritual Transformation?David Srygley
 
Vhse application
Vhse applicationVhse application
Vhse applicationVirtualhse
 
Sharing God’s Grace
Sharing God’s GraceSharing God’s Grace
Sharing God’s GraceDavid Srygley
 
VIRTUAL HIGH SCHOOL OF EXCELLENCE APPLICATION FORM
VIRTUAL HIGH SCHOOL OF EXCELLENCE APPLICATION FORMVIRTUAL HIGH SCHOOL OF EXCELLENCE APPLICATION FORM
VIRTUAL HIGH SCHOOL OF EXCELLENCE APPLICATION FORMVirtualhse
 
Study of Anisotropy Superconductor using Time-Dependent Ginzburg-Landau Equation
Study of Anisotropy Superconductor using Time-Dependent Ginzburg-Landau EquationStudy of Anisotropy Superconductor using Time-Dependent Ginzburg-Landau Equation
Study of Anisotropy Superconductor using Time-Dependent Ginzburg-Landau EquationFuad Anwar
 

Viewers also liked (8)

Hodge Podge Church of Christ Goes Greenish
Hodge Podge Church of Christ Goes GreenishHodge Podge Church of Christ Goes Greenish
Hodge Podge Church of Christ Goes Greenish
 
So What is Spiritual Transformation?
So What is Spiritual Transformation?So What is Spiritual Transformation?
So What is Spiritual Transformation?
 
Vhse application
Vhse applicationVhse application
Vhse application
 
Sharing God’s Grace
Sharing God’s GraceSharing God’s Grace
Sharing God’s Grace
 
Grace of christ
Grace of christGrace of christ
Grace of christ
 
Baigiangphanquery
BaigiangphanqueryBaigiangphanquery
Baigiangphanquery
 
VIRTUAL HIGH SCHOOL OF EXCELLENCE APPLICATION FORM
VIRTUAL HIGH SCHOOL OF EXCELLENCE APPLICATION FORMVIRTUAL HIGH SCHOOL OF EXCELLENCE APPLICATION FORM
VIRTUAL HIGH SCHOOL OF EXCELLENCE APPLICATION FORM
 
Study of Anisotropy Superconductor using Time-Dependent Ginzburg-Landau Equation
Study of Anisotropy Superconductor using Time-Dependent Ginzburg-Landau EquationStudy of Anisotropy Superconductor using Time-Dependent Ginzburg-Landau Equation
Study of Anisotropy Superconductor using Time-Dependent Ginzburg-Landau Equation
 

Similar to Jurnal Study of Anisotropy Superconductor using Time-Dependent Ginzburg-Landau Equationjnsr fuad anwar

Optimization of Technological Process to Decrease Dimensions of Circuits XOR,...
Optimization of Technological Process to Decrease Dimensions of Circuits XOR,...Optimization of Technological Process to Decrease Dimensions of Circuits XOR,...
Optimization of Technological Process to Decrease Dimensions of Circuits XOR,...ijfcstjournal
 
Fixed point theorems for random variables in complete metric spaces
Fixed point theorems for random variables in complete metric spacesFixed point theorems for random variables in complete metric spaces
Fixed point theorems for random variables in complete metric spacesAlexander Decker
 
On Prognosis of Manufacturing of a Broadband Power Amplifiers based on Hetero...
On Prognosis of Manufacturing of a Broadband Power Amplifiers based on Hetero...On Prognosis of Manufacturing of a Broadband Power Amplifiers based on Hetero...
On Prognosis of Manufacturing of a Broadband Power Amplifiers based on Hetero...BRNSSPublicationHubI
 
On optimization ofON OPTIMIZATION OF DOPING OF A HETEROSTRUCTURE DURING MANUF...
On optimization ofON OPTIMIZATION OF DOPING OF A HETEROSTRUCTURE DURING MANUF...On optimization ofON OPTIMIZATION OF DOPING OF A HETEROSTRUCTURE DURING MANUF...
On optimization ofON OPTIMIZATION OF DOPING OF A HETEROSTRUCTURE DURING MANUF...ijcsitcejournal
 
A common random fixed point theorem for rational ineqality in hilbert space ...
 A common random fixed point theorem for rational ineqality in hilbert space ... A common random fixed point theorem for rational ineqality in hilbert space ...
A common random fixed point theorem for rational ineqality in hilbert space ...Alexander Decker
 
Lecture 5: Stochastic Hydrology
Lecture 5: Stochastic Hydrology Lecture 5: Stochastic Hydrology
Lecture 5: Stochastic Hydrology Amro Elfeki
 
On Optimization of Manufacturing of a Sense-amplifier Based Flip-flop
On Optimization of Manufacturing of a Sense-amplifier Based Flip-flopOn Optimization of Manufacturing of a Sense-amplifier Based Flip-flop
On Optimization of Manufacturing of a Sense-amplifier Based Flip-flopBRNSS Publication Hub
 
NITheP UKZN Seminar: Prof. Alexander Gorokhov (Samara State University, Russi...
NITheP UKZN Seminar: Prof. Alexander Gorokhov (Samara State University, Russi...NITheP UKZN Seminar: Prof. Alexander Gorokhov (Samara State University, Russi...
NITheP UKZN Seminar: Prof. Alexander Gorokhov (Samara State University, Russi...Rene Kotze
 
An Approach to Optimize Regimes of Manufacturing of Complementary Horizontal ...
An Approach to Optimize Regimes of Manufacturing of Complementary Horizontal ...An Approach to Optimize Regimes of Manufacturing of Complementary Horizontal ...
An Approach to Optimize Regimes of Manufacturing of Complementary Horizontal ...ijrap
 
An Approach to Optimize Regimes of Manufacturing of Complementary Horizontal ...
An Approach to Optimize Regimes of Manufacturing of Complementary Horizontal ...An Approach to Optimize Regimes of Manufacturing of Complementary Horizontal ...
An Approach to Optimize Regimes of Manufacturing of Complementary Horizontal ...ijrap
 
Fixed point and common fixed point theorems in complete metric spaces
Fixed point and common fixed point theorems in complete metric spacesFixed point and common fixed point theorems in complete metric spaces
Fixed point and common fixed point theorems in complete metric spacesAlexander Decker
 
ON PROGNOZISYS OF MANUFACTURING DOUBLE-BASE HETEROTRANSISTOR AND OPTIMIZATION...
ON PROGNOZISYS OF MANUFACTURING DOUBLE-BASE HETEROTRANSISTOR AND OPTIMIZATION...ON PROGNOZISYS OF MANUFACTURING DOUBLE-BASE HETEROTRANSISTOR AND OPTIMIZATION...
ON PROGNOZISYS OF MANUFACTURING DOUBLE-BASE HETEROTRANSISTOR AND OPTIMIZATION...msejjournal
 
On prognozisys of manufacturing double base
On prognozisys of manufacturing double baseOn prognozisys of manufacturing double base
On prognozisys of manufacturing double basemsejjournal
 
Optimization of Dopant Diffusion and Ion Implantation to Increase Integration...
Optimization of Dopant Diffusion and Ion Implantation to Increase Integration...Optimization of Dopant Diffusion and Ion Implantation to Increase Integration...
Optimization of Dopant Diffusion and Ion Implantation to Increase Integration...ijrap
 
OPTIMIZATION OF DOPANT DIFFUSION AND ION IMPLANTATION TO INCREASE INTEGRATION...
OPTIMIZATION OF DOPANT DIFFUSION AND ION IMPLANTATION TO INCREASE INTEGRATION...OPTIMIZATION OF DOPANT DIFFUSION AND ION IMPLANTATION TO INCREASE INTEGRATION...
OPTIMIZATION OF DOPANT DIFFUSION AND ION IMPLANTATION TO INCREASE INTEGRATION...ijrap
 
Anomalous Diffusion Through Homopolar Membrane: One-Dimensional Model_ Crimso...
Anomalous Diffusion Through Homopolar Membrane: One-Dimensional Model_ Crimso...Anomalous Diffusion Through Homopolar Membrane: One-Dimensional Model_ Crimso...
Anomalous Diffusion Through Homopolar Membrane: One-Dimensional Model_ Crimso...Crimsonpublishers-Mechanicalengineering
 
On prognozisys of manufacturing doublebase
On prognozisys of manufacturing doublebaseOn prognozisys of manufacturing doublebase
On prognozisys of manufacturing doublebaseijaceeejournal
 
On Analytical Approach to Prognosis of Manufacturing of Voltage Divider Biasi...
On Analytical Approach to Prognosis of Manufacturing of Voltage Divider Biasi...On Analytical Approach to Prognosis of Manufacturing of Voltage Divider Biasi...
On Analytical Approach to Prognosis of Manufacturing of Voltage Divider Biasi...BRNSS Publication Hub
 

Similar to Jurnal Study of Anisotropy Superconductor using Time-Dependent Ginzburg-Landau Equationjnsr fuad anwar (20)

Optimization of Technological Process to Decrease Dimensions of Circuits XOR,...
Optimization of Technological Process to Decrease Dimensions of Circuits XOR,...Optimization of Technological Process to Decrease Dimensions of Circuits XOR,...
Optimization of Technological Process to Decrease Dimensions of Circuits XOR,...
 
15 16
15 1615 16
15 16
 
Fixed point theorems for random variables in complete metric spaces
Fixed point theorems for random variables in complete metric spacesFixed point theorems for random variables in complete metric spaces
Fixed point theorems for random variables in complete metric spaces
 
On Prognosis of Manufacturing of a Broadband Power Amplifiers based on Hetero...
On Prognosis of Manufacturing of a Broadband Power Amplifiers based on Hetero...On Prognosis of Manufacturing of a Broadband Power Amplifiers based on Hetero...
On Prognosis of Manufacturing of a Broadband Power Amplifiers based on Hetero...
 
On optimization ofON OPTIMIZATION OF DOPING OF A HETEROSTRUCTURE DURING MANUF...
On optimization ofON OPTIMIZATION OF DOPING OF A HETEROSTRUCTURE DURING MANUF...On optimization ofON OPTIMIZATION OF DOPING OF A HETEROSTRUCTURE DURING MANUF...
On optimization ofON OPTIMIZATION OF DOPING OF A HETEROSTRUCTURE DURING MANUF...
 
A common random fixed point theorem for rational ineqality in hilbert space ...
 A common random fixed point theorem for rational ineqality in hilbert space ... A common random fixed point theorem for rational ineqality in hilbert space ...
A common random fixed point theorem for rational ineqality in hilbert space ...
 
Lecture 5: Stochastic Hydrology
Lecture 5: Stochastic Hydrology Lecture 5: Stochastic Hydrology
Lecture 5: Stochastic Hydrology
 
On Optimization of Manufacturing of a Sense-amplifier Based Flip-flop
On Optimization of Manufacturing of a Sense-amplifier Based Flip-flopOn Optimization of Manufacturing of a Sense-amplifier Based Flip-flop
On Optimization of Manufacturing of a Sense-amplifier Based Flip-flop
 
NITheP UKZN Seminar: Prof. Alexander Gorokhov (Samara State University, Russi...
NITheP UKZN Seminar: Prof. Alexander Gorokhov (Samara State University, Russi...NITheP UKZN Seminar: Prof. Alexander Gorokhov (Samara State University, Russi...
NITheP UKZN Seminar: Prof. Alexander Gorokhov (Samara State University, Russi...
 
An Approach to Optimize Regimes of Manufacturing of Complementary Horizontal ...
An Approach to Optimize Regimes of Manufacturing of Complementary Horizontal ...An Approach to Optimize Regimes of Manufacturing of Complementary Horizontal ...
An Approach to Optimize Regimes of Manufacturing of Complementary Horizontal ...
 
An Approach to Optimize Regimes of Manufacturing of Complementary Horizontal ...
An Approach to Optimize Regimes of Manufacturing of Complementary Horizontal ...An Approach to Optimize Regimes of Manufacturing of Complementary Horizontal ...
An Approach to Optimize Regimes of Manufacturing of Complementary Horizontal ...
 
Fixed point and common fixed point theorems in complete metric spaces
Fixed point and common fixed point theorems in complete metric spacesFixed point and common fixed point theorems in complete metric spaces
Fixed point and common fixed point theorems in complete metric spaces
 
3_AJMS_222_19.pdf
3_AJMS_222_19.pdf3_AJMS_222_19.pdf
3_AJMS_222_19.pdf
 
ON PROGNOZISYS OF MANUFACTURING DOUBLE-BASE HETEROTRANSISTOR AND OPTIMIZATION...
ON PROGNOZISYS OF MANUFACTURING DOUBLE-BASE HETEROTRANSISTOR AND OPTIMIZATION...ON PROGNOZISYS OF MANUFACTURING DOUBLE-BASE HETEROTRANSISTOR AND OPTIMIZATION...
ON PROGNOZISYS OF MANUFACTURING DOUBLE-BASE HETEROTRANSISTOR AND OPTIMIZATION...
 
On prognozisys of manufacturing double base
On prognozisys of manufacturing double baseOn prognozisys of manufacturing double base
On prognozisys of manufacturing double base
 
Optimization of Dopant Diffusion and Ion Implantation to Increase Integration...
Optimization of Dopant Diffusion and Ion Implantation to Increase Integration...Optimization of Dopant Diffusion and Ion Implantation to Increase Integration...
Optimization of Dopant Diffusion and Ion Implantation to Increase Integration...
 
OPTIMIZATION OF DOPANT DIFFUSION AND ION IMPLANTATION TO INCREASE INTEGRATION...
OPTIMIZATION OF DOPANT DIFFUSION AND ION IMPLANTATION TO INCREASE INTEGRATION...OPTIMIZATION OF DOPANT DIFFUSION AND ION IMPLANTATION TO INCREASE INTEGRATION...
OPTIMIZATION OF DOPANT DIFFUSION AND ION IMPLANTATION TO INCREASE INTEGRATION...
 
Anomalous Diffusion Through Homopolar Membrane: One-Dimensional Model_ Crimso...
Anomalous Diffusion Through Homopolar Membrane: One-Dimensional Model_ Crimso...Anomalous Diffusion Through Homopolar Membrane: One-Dimensional Model_ Crimso...
Anomalous Diffusion Through Homopolar Membrane: One-Dimensional Model_ Crimso...
 
On prognozisys of manufacturing doublebase
On prognozisys of manufacturing doublebaseOn prognozisys of manufacturing doublebase
On prognozisys of manufacturing doublebase
 
On Analytical Approach to Prognosis of Manufacturing of Voltage Divider Biasi...
On Analytical Approach to Prognosis of Manufacturing of Voltage Divider Biasi...On Analytical Approach to Prognosis of Manufacturing of Voltage Divider Biasi...
On Analytical Approach to Prognosis of Manufacturing of Voltage Divider Biasi...
 

Jurnal Study of Anisotropy Superconductor using Time-Dependent Ginzburg-Landau Equationjnsr fuad anwar

  • 1. Journal of Natural Sciences Research www.iiste.org ISSN 2224-3186 (Paper) ISSN 2225-0921 (Online) Vol.3, No.15, 2013 Study of Anisotropy Superconductor using Time-Dependent Ginzburg-Landau Equation Fuad Anwar1,2*, Pekik Nurwantoro1, Arief Hermanto1 1. Department of Physics, University of Gadjah Mada, Sekip Utara, Bulaksumur, Yogyakarta 55281, Indonesia 2. Department of Physics, University of Sebelas Maret, Jl. Ir. Sutami 36A, Kenthingan, Surakarta 57126, Indonesia * E-mail of the corresponding author: fuada70@yahoo.com Abstract We have observed an anisotropy superconductor which was immersed in vacuum medium in presence of an applied magnetic field. The anisotropy properties of superconductor were related with two principal values of the effective mass of the Cooper pairs, namely mc along the x-axis and mab in the yz-plane. Based on the time-dependent Ginzburg-Landau and yU methods, the problem was solved and made to be the numerical simulation. From study using this numerical simulation, we can find that the anisotropy properties can make the critical field to be lower or higher. Keywords: anisotropy, superconductor, time-dependent Ginzburg-Landau 1. Introduction It is well known that the Time Dependent Ginzburg - Landau (TDGL) equations can be used to study the dynamics of superconductivity phenomenon (Tinkham 1996; Du 2005). These equations have nonlinear nature, so it will give results more completely to solve them numerically (Du 2005). One of the numerical solutions has been developed using the gauge invariant variables technique or to be called yU method (Bolech et al. 1995; Gropp et al. 1996; Winiecki & Adams 2002). In the last decade, the solution of TDGL equations using yU method has successfully been used to study the dynamics of superconductivity phenomenon in thin films (Barba et al. 2007; Barba et al. 2008; Barba-Ortega & Aguiar 2009; Barba-Ortega et al. 2010; Barba-Ortega et al. 2012; Barba-Ortega et al. 2013; Wisodo et al. 2013). However, these studies considered the superconductors having isotropy properties. It is also well known that the high Tc superconductors have anisotropy properties (Tinkham, 1996). These superconductors are viewed as the stack of layers, each layer comprises the ab planes and the c axis is normal to them. The effective mass of the Cooper pairs is different when measured in the ab planes or along the c axis. The results in earlier papers show that the anisotropy properties have influence on superconductivity phenomenon (Hao & Hu 1996; Chapman & Richardson 1998; Achalere & Dey 2008). In this paper, we study the dynamics of superconductivity phenomenon in an anisotropy superconductor using the TDGL equations and yU methods. We describe the theoretical formalism and numerical method used for solving the problem in section 2. The results and their analysis are discussed in section 3. Finally, we conclude in section 4. 2. Numerical Methods 2.1 The Time-dependent Ginzburg-Landau Equations The time-dependent Ginzburg-Landau (TDGL) equations are : m y y y y y s 99 (1) (2) e i ö æ ö ( ) ( ) ( t ) ( t ) T ( t ) t ( t ) m Φ t t e i æ ¶ m D t s s s s , , ( ) , ( , ) , 2 , , 2 2 2 2 2 r r r r r A r r y y b y a y y - + ÷ ÷ø ç çè - Ñ = ÷ ÷ø ç çè + ¶ h h h h ( ( ) ( )) Ñ´ Ñ´ - A r H r ( ) ( ) ( ) ( ) ( ) ( ) ( ) ( ) ö ÷ø æ çè ¶ ÷ø ö ¶ + - Ñ - æ e = Ñ - Ñ - çè t t t t Φ t ie t t t t s m i t t s s ext , , , , 2 , , , , 2 , , 1 2 0 0 A r r r r r r A r r m h h
  • 2. Journal of Natural Sciences Research www.iiste.org ISSN 2224-3186 (Paper) ISSN 2225-0921 (Online) Vol.3, No.15, 2013 where y is order parameter, A and Hext denote the vector potential and an external magnetic field, es and ms are the effective charge and the effective mass of the Cooper pairs, a dan b are phenomenological parameters, D is a phenomenological diffusion constant, F and s are the electrical potential and conductivity (Bolech et al. 1995; Tinkham 1996; Gropp et al. 1996; Winiecki & Adams 2002). In this study, we considered an anisotropic superconductor which is immersed in vacuum medium in presence of an applied magnetic field (The figure 1). Here, an anisotropic superconductor has layered structures, so it has two principal values of ms, D and s, namely : mc, Dc and sc ö æ ¶ 2 2 ö æ ¶ y y 2 2 2 2 2 2 2 ö æ ¶ y y ay by y ö æ ¶ 2 2 2 2 2 2 æ ¶ æ ¶ - ¶ ¶ ö ¶ - y x y x 100 along the x-axis and mab, Dab and sab in the yz-plane. The applied magnetic field is assumed in the z-direction, time-dependent, and spatially uniform, so we have Ñ´Hext(t)=0, B=Bz(x,y,t)z and A=Ax(x,y,t)x+Ay(x,y,t)y. Figure. 1 An anisotropy superconductor in presence of an applied perpendicular uniform magnetic field If we apply the previous assumption to the time-dependent Ginzburg-Landau, we can obtain : (3) (4) æ ¶ m m e e A ¶ A s æ æ ¶ ¶ æ ¶ Then, we scale y in y0=(|a|/b)½, t in tc = xc ö A A ¶ ¶ 2/Dc, x and y in xc 2 ö ¶ + ¶ + ö A ¶ Φ A ¶ Φ ö æ ö ö æ ö =(ћ2/2mc|a|)½, Ax and Ay in A0x=μ0Hc2c xc , F in F0= xc A0x/ tc , sc and sab in s0c=1/( μ0 kc 2Dc), and we choose F =0, so we can rewrite equations (3) and (4) in the following form : superconductor x z y Hext(t) y y ay by y 2 2 - + ÷ ÷ø ç çè - ¶ + ÷ø çè - ¶ + - + ÷ ÷ø ç çè - ¶ + ÷ø çè - ¶ = ÷ø çè + ¶ + ÷ø çè + ¶ y s ab x s ab y s c x s c s ab ab s c c A e i m y A e i m x A e i m y A e i m x Φ e i m D t Φ e i m D t h h h h h h h h h h h h y t y A y ie im y y x t x A x ie im x x y y x x x y x y y y ab s ab x x c s c s ˆ ˆ 2 2 ˆ ˆ 2 2 ˆ 1 ˆ 1 2 2 0 0 ÷ ÷ ø ç ç è ¶ ¶ - ÷ ÷ø ç çè - ¶ - ¶ + ÷ø çè ¶ ¶ - ÷ø çè - ¶ - ¶ = ÷ ÷ ø ç ç è ¶ ¶ ¶ - ÷ ÷ ø ç ç è ¶ ¶ ¶ y s y y y y y s y y y y h h h h
  • 3. Journal of Natural Sciences Research www.iiste.org ISSN 2224-3186 (Paper) ISSN 2225-0921 (Online) Vol.3, No.15, 2013 æ + + ÷ø 2 2 2 2 ö æ ö æ + = ö e e 2 ¶ æ ¶ ¶ æ + 1 1 1 m D iA ÷ + - ÷ø ¶ c m 2m m = = l k = = c x Hc = Hc = a k 2c c ab ab k l x 2 = = = ab = = m 2 2 2 m Hc ab D D s ab s ò x x + = - ( ( ) ) x y x i j U i A y d i N j N i , ò h h + = - exp , with = 1,2,…, +1 and = 1,2,…, 1 - + y y y U t t t U t t ( ) ( ) 2 ( ) ( ) ( ) + - - , 1, , 1, 1, 2 x y y y æ æ - + U t t t U t t t , , 1 , , 1 , 1 ö 101 (5) (6) y e ¶ A ¶ A In equations (5) and (6), we define : (7a) (7b) (7c) (7d) (7e) (7f) (7g) e ö ¶ - A ¶ - ¶ A A ¶ A 1 ö æ ¶ ö ¶ æ ¶ æ ¶ ö æ ¶ b b ab c m 2 2 ab c ab ab c ab where x is the coherence length, l is the penetration depth, and k is the Ginzburg-Landau parameter. The equations (5) and (6) can be solved by the yU method (Bolech et al. 1995; Gropp et al. 1996; Winiecki & Adams 2002). In this method, the sample is divided into Nx x Ny cells, with mesh spacings Dx and Dy. At the cell, there are three fundamental unknowns, namely y, Ux and Uy. The yi,j is order parameter at position (xi , yj), with i = 1,2,…Nx+1 and j = 1,2,…,Ny+1. The Ux and Uy are the complex link variables and are related to A by : (8a) (8b) x x x j Using the yU method and the Euler method and taking eD = 1, es = 1, sc =sab = 1, the equations (5) and (6) can be derived in the following form : (9) y ( y y) e y e e e 2 2 2 2 2 2 21 ö ç çè - ¶ ÷ ÷ ø ç ç è ö çè - ¶ ÷ ÷ ø ç ç è ¶ ÷ ÷ ø ç ç è y m m x m m m D y iA t x y y x x i A y i y y x y x y i A x i x x y t x t y x y c m y x x c y ab x c 2 ˆ ˆ 2 1 2 ˆ ˆ 2 ˆ ˆ 2 2 2 2 2 ÷ ÷ ø ç ç è ¶ ¶ ¶ + ÷ ÷ø ç çè - ¶ - ¶ + ÷ ÷ ø ç ç è ¶ ¶ ¶ - ÷ø çè - ¶ - ¶ = ¶ + ¶ y k y y y y e y k y y y s s y a x a x ab ab c and 2 2 2 2 2 h h = = and 2 0 2 2 0 2 m a l m a l s ab s c e e and 2 2 2 2 ab ab c l k x 2 and 2 0 2 0 m b a k m b c c c ab c Hc m 2 2 2 k l x e c D = 2 e c es = 2 ( ( ) ) exp , with = 1,2,…, and = 1,2,…, +1 1 , x y i y y y i y i j U i A x d i N j N j j y 1 ( ) ( ) æ 1 + 2 ö ( ) ( ) 2 ( ) ( ) ( ) ( ) ( ) , 2 2 , 2 2 , , e t t t t t t t i j i j m m i j y i j i j i j y i j i j x i j i j i j x i j i j i j y y e y y ÷ø ö çè æ - ÷ ÷ ø ç ç è + D ö ÷ ÷ ÷ ø ç ç ç è D + D ÷ ÷ ÷ ø ç ç ç è D + D = + D + - -
  • 4. Journal of Natural Sciences Research www.iiste.org ISSN 2224-3186 (Paper) ISSN 2225-0921 (Online) Vol.3, No.15, 2013 + D = - D ( ) ˆ ( ) ˆ ( ) Im ( ) ( ) ( ) ˆ U t t x U t x i tU t U t t t x , , , , , 1, U t (L t L t )x D t y ( ) ( ) ( ) Im ( ) ( ) ( ) ˆ U t U t t t y , , 2 , , , , 1 i j i j L =U U U U » -iDxDyB + + é × - Ñ - ψ ¶ B B y x ext z z ¶ j j y = y y = x y + y = y y i i y = y y i N + i N exp( ) 1, 2, 1, 1 1, ext;z U y »U y U x + U x -iDxDyH j j j j » - D D + + y N j U U U U i x yH x i U »U U U -iDxDyH + » - D D + + x i N U U U U i x yH 102 (10) (11) where, (12) ( ) D t 2.2 The Boundary Conditions In this study, we considered the superconductor is immersed in vacuum medium in presence of an applied magnetic field, so we have the boundary condition for y and A, namely : (13) (14) ù A A where n denotes the unit normal to the superconductor–vacuum interface. If we apply the previous research assumptions and scale y in y0=(|a|/b)½, x and y in xc =(ћ2/2mc|a|)½, Ax and Ay in A0x=μ0Hc2c xc , Bz and Bext;z in μ0Hc2c, Hz and Hext;z in Hc2c, then we can use the yU method and the Euler method to rewrite equations (13) and (14) in the following form : at i = 1 : (15a) at i = Nx+1 : (15b) at j = 1 : (15c) at j = Ny+1 : (15d) and at i = 1 : (16a) at i = Nx+1 : (16b) at j = 1 : (16c) at j = Ny+1 : (16d) x 2.3 The Numerical Simulation We begin the numerical simulation with determining the value of Nx, Ny, Dx, Dy, Dt, kc and em . We also assume the initial condition of superconductor as in a perfect Meissner state, so we have Hext;z=0, yi,j = 1, Ux i,j=1 and Uy i,j=1. Then, Hext;z is increased linearly with time and with small intervals of DHext;z. When we have a new value of Hext;z , we compute the new values of yi,j, Ux i,j and Uy i,j using equations (9), (10), (11), (15) and (16). Using this numerical simulation, we can also make magnetization curves. Magnetization can be calculated from : (17) where Mz is scaled in Hc2c and Bz is calculated by equation (12). i j i j x c i j i j i j x i j x i j x i j x i j ( ) ( ) ( ) 1 ˆ 2 , , , 1 2 - D - - + k y y ( ) ( )( ( ) ( ) 1)ˆ 2 , , 1, 2 U t L t L t y x i t U t t U t i j i j y c i j i j i j y i j y i j m y i j y i j - D - D + D = - - + k y y e y y x x exp( ) , 1, i , j i , j 1 i , j z;i, j 0 ˆ = úû êë e i s n A h y x ¶ - ¶ = = ; ( ) ( ) ( ) 1, 1, 2, t U t t j ( ) ( ) ( ) 1, , , t U t t N j N j N j x x x ( ) ( ) ( ) ,1 ,1 ,2 t U t t i ( ) ( ) ( ) , 1 , , t U t t y y y i N y x x exp( ) 1, N , j N , j 1 N , j ext;z x x x x y y x exp( ) ,1 i 1,1 i ,1 i ,2 ext;z y y x exp( ) , 1 i 1, N i , N i , N ext;z y y y y z z ext z M B H ; = -
  • 5. Journal of Natural Sciences Research www.iiste.org ISSN 2224-3186 (Paper) ISSN 2225-0921 (Online) Vol.3, No.15, 2013 3. Results and Discussion We try to run the numerical simulation with choosing five cases, namely : em = 1.0, em = 0.5, em = 0.8, em = 1.3, and em = 2.0. For each case, the values of another input are the same, namely : Nx = 32, Ny = 32, Dx 103 =0.5, Dy =0.5, Dt = 0.010, DHext;z= 0.000001, and kc = 2.0. When em = 1.0, it is the isotropy superconductor case and the others are the anisotropy superconductor cases. In figure 2(a), we show the square modulus order parameter curve as a function of magnetic field - Hext 2 y in the five cases. We can see in the figure, the |y(x,y)|2 will completely vanish at the higher value of the applied field Hext;z when the value of em increases. It means, by increasing em the value of the surface nucleation field Hc3 will be higher. In figure 2(b), we show the magnetization curve as a function of magnetic field M-Hext in the five cases. We can see, as increasing the applied field Hext;z, the magnetization curve will decrease until the minimum value, then increase until the zero value. When the value of em increases, we find that the minimum value will be located at the higher value of the applied field Hext;z if em£1 and at the lower value of the applied field Hext;z if em³1. We also find that the zero value will be located at the higher value of the applied field Hext;z when the value of em increases. It means, by increasing em, if em£1 the value of the lower critical field Hc1 will be higher and if em³1 the value of Hc1 will be lower. It also means, by increasing em, the value of Hc3 will be higher. We show the distribution of the square modulus order parameter |y(x,y)|2 on sample for five cases and for the several values of the applied field Hext;z in the figure 3-7. From these figures, we can see that in the low applied field Hext;z, |y(x,y)|2 has a high value. As increasing Hext;z, the magnetic field will penetrate into sample to form vortex and |y(x,y)|2 will decrease. When the value of em increases, we find that |y(x,y)|2 will vanish in the higher value of the applied field Hext;z, the vortex is formed in the higher value of the applied field Hext;z if em£1 and in the lower value of the applied field Hext;z if em³1. Once again, these results mean that by increasing em, the value of Hc3 will be higher, if em£1 the value of Hc1 will be higher and if em³1 the value of Hc1 will be lower. 0 0.5 1 1.5 2 2.5 3 3.5 0 - 0.1 - 0.2 Hext M (b) Hext 2 y 0 0.5 1 1.5 2 2.5 3 3.5 0.8 0.6 0.4 0.2 0 (a) Figure 2. Plot of (a) ext -H 2 y and (b) M-Hext in the cases of : — : em = 0.5 — : em = 0.8 — : em = 1.0 — : em = 1.3 — : em = 2.0
  • 6. Journal of Natural Sciences Research www.iiste.org ISSN 2224-3186 (Paper) ISSN 2225-0921 (Online) Vol.3, No.15, 2013 Figure 3. Plot of |y(x,y)|2 in the case of em=0.5 and (a)Hext;z=0.10 (b)Hext;z=0.20 (c)Hext;z=0.30 (d)Hext;z=0.40 (e)Hext;z=0.50 (f)Hext;z=0.80 The white and the black colours indicate |y(x,y)|2=1 and |y(x,y)|2=0. Figure 4. Plot of |y(x,y)|2 in the case em=0.8 and (a)Hext;z=0.10 (b)Hext;z=0.20 (c)Hext;z=0.30 (d)Hext;z=0.40 (e)Hext;z=0.50 (f)Hext;z=0.80 (g) Hext;z=1.60 The white and the black colours indicate |y(x,y)|2=1 and |y(x,y)|2=0. Figure 5. Plot of |y(x,y)|2 in the case of em=1.0 and (a)Hext;z=0.10 (b)Hext;z=0.20 (c)Hext;z=0.30 (d)Hext;z=0.40 (e)Hext;z=0.50 (f)Hext;z =0.80 (g) Hext;z=1.60 (h) Hext;z=2.20. The white and the black colours indicate |y(x,y)|2=1 and |y(x,y)|2=0. 104
  • 7. Journal of Natural Sciences Research www.iiste.org ISSN 2224-3186 (Paper) ISSN 2225-0921 (Online) Vol.3, No.15, 2013 Figure 6. Plot of |y(x,y)|2 in the case of em=1.3 and (a)Hext;z=0.10 (b)Hext;z=0.20 (c)Hext;z=0.30 (d)Hext;z=0.40 (e)Hext;z=0.50 (f)Hext;z =0.80 (g)Hext;z=1.60 (h)Hext;z=2.20 (i)Hext;z=2.80. The white and the black colours indicate |y(x,y)|2=1 and |y(x,y)|2=0. Figure 7. Plot of |y(x,y)|2 in the case of em=2.0 and (a)Hext;z=0.10 (b)Hext;z=0.20 (c)Hext;z=0.30 (d)Hext;z=0.40 (e)Hext;z=0.50 (f)Hext;z =0.80 (g)Hext;z=1.60 (h)Hext;z=2.20 (i)Hext;z=2.80 (j)Hext;z=3.50 The white and the black colours indicate |y(x,y)|2=1 and |y(x,y)|2=0. 4. Conclusion We have made a numerical solution of the Time Dependent Ginzburg - Landau (TDGL) equations for anisotropic superconductor using yU methods. From this simulation, if we set kc 105 in the fixed value and increase em, we will obtain the value of Hc3 will be higher and the value of Hc1 will be higher if em£1and will be lower if em³1. Acknowledgements We thank to Direktorat Jenderal Pendidikan Tinggi (Ditjen Dikti)-Kementerian Pendidikan dan Kebudayaan (Kemdikbud)-Indonesia for the support of our research through BPPS scholarship. References Achalere, A. & Dey, B. (2008). Effect of c-axis Anisotropy on the Properties of High-Tc Superconductor Films of Finite Thickness. Physica C, 468, 2241-2249. Barba, J. J., Cabral, L. R. E. & Aguiar, J. A. (2007). Vortex Arrays in Superconducting Cylinders. Physica C,
  • 8. Journal of Natural Sciences Research www.iiste.org ISSN 2224-3186 (Paper) ISSN 2225-0921 (Online) Vol.3, No.15, 2013 460-462, 1272-1273. Barba, J. J., de Souza Silva, C. C., Cabral, L. R. E. & Aguiar, J. A. (2008). Flux Trapping and Paramagnetic Effects in Superconducting Thin Films : The Role of de Gennes Boundary Conditions. Physica C, 468, 718-721. Barba-Ortega, J. & Aguiar, J. A. (2009). De Gennes Parameter Limit for The Occurrence of a Single Vortex in a Square Mesoscopic Superconductor. Physica C, 469, 754-755. Barba-Ortega, J., Becerra, A. & Aguiar, J. A. (2010). Two Dimensional Vortex Structures in a Superconductor Slab at Low Temperatures. Physica C, 470, 225-230. Barba-Ortega, J., Sardella, E., Aguiar, J. A. & Brandt, E. H. (2012). Vortex State in a Mesoscopic Flat Disk with Rough Surface. Physica C, 479, 49-52. Barba-Ortega, J., Sardella, E. & Aguiar, J. A. (2013). Triangular Arrangement of Defects in a Mesoscopic Superconductor. Physica C, 485, 107-114. Bolech, C., Buscaglia, G. C. & Lopez, A. (1995). Numerical Simulation of Vortex Arrays in Thin Superconducting Films, Physical Review B, 52, 22, R15719-R15722. Chapman, S. J., & Richardson, G. (1998). Motion and Homogenization of Vortices in Anisotropic Type II Superconductors. SIAM J. APPL. MATH., 58, 2, 587-606. Du, Q. (2005). Numerical Approximations of The Ginzburg–Landau Models for Superconductivity. J. Math. Phys., 46, 095109-1 - 095109-22. Gropp, W. D., Kaper, H. G., Leaf, G. K., Levine, D. M., Palumbo, M., & Vinokur, V. M. (1996). Numerical Simulation of Vortex Dynamics in Type-II Superconductors, Journal of Computational Physics, 123, 254-266. Hao, Z. & Hu, C. R. (1996). Flux Motion in Anisotropic Type II Superconductors near Hc2 with Arbitrary Vortex Orientation. Jurnal of Law Temperature Physics, 104, 3/4, 265-274. Pascolati, M. C. V., Sardella, E. & Lisboa-Filho, P. N. (2010). Vortex Dynamics in Mesoscopic Superconducting Square of Variable Surface. Physica C, 470, 206-211. Presotto, A., Sardella, E. & Zadorosny, R. (2013). Study of The Threshold Line between Macroscopic and Bulk Behaviors for Homogeneous Type II Superconductors. Physica C, 492, 75-79. Tinkham, M. (1996). Introduction to Superconductivity. (2nd ed.). New York : McGraw-Hill, Inc. Winiecki, T., & Adams, C. S. (2002). A Fast Semi-Implicit Finite Difference Method for The TDGL Equations. Journal of Computational Physics, 179, 127-139. Wisodo, H., Nurwantoro, P., & Utomo, A. B. S. (2013). Voltage Curve for Annihilation Dynamics of A Vortex- Antivortex Pair in Mesoscopic Superconductor. Journal of Natural Sciences Research, 3, 9, 140-146. 106
  • 9. This academic article was published by The International Institute for Science, Technology and Education (IISTE). The IISTE is a pioneer in the Open Access Publishing service based in the U.S. and Europe. The aim of the institute is Accelerating Global Knowledge Sharing. More information about the publisher can be found in the IISTE’s homepage: http://www.iiste.org CALL FOR JOURNAL PAPERS The IISTE is currently hosting more than 30 peer-reviewed academic journals and collaborating with academic institutions around the world. There’s no deadline for submission. Prospective authors of IISTE journals can find the submission instruction on the following page: http://www.iiste.org/journals/ The IISTE editorial team promises to the review and publish all the qualified submissions in a fast manner. All the journals articles are available online to the readers all over the world without financial, legal, or technical barriers other than those inseparable from gaining access to the internet itself. Printed version of the journals is also available upon request of readers and authors. MORE RESOURCES Book publication information: http://www.iiste.org/book/ Recent conferences: http://www.iiste.org/conference/ IISTE Knowledge Sharing Partners EBSCO, Index Copernicus, Ulrich's Periodicals Directory, JournalTOCS, PKP Open Archives Harvester, Bielefeld Academic Search Engine, Elektronische Zeitschriftenbibliothek EZB, Open J-Gate, OCLC WorldCat, Universe Digtial Library , NewJour, Google Scholar