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International Journal of Applied Control, Electrical and Electronics Engineering (IJACEEE) Vol 3, No.4, November 2015
DOI: 10.5121/ijaceee.2015.3402 13
ON OPTIMIZATION OF MANUFACTURING
PLANAR DOUBLE-BASE HETEROTRANSIS-
TORS TO DECREASE THEIR DIMENSIONS
E.L. Pankratov1
, E.A. Bulaeva1,2
1
Nizhny Novgorod State University, 23 Gagarin avenue, Nizhny Novgorod, 603950,
Russia
2
Nizhny Novgorod State University of Architecture and Civil Engineering, 65 Il'insky
street, Nizhny Novgorod, 603950, Russia
ABSTRACT
In this paper we consider an approach of manufacturing of double-base heterotransistors to decrease their
dimensions. Framework the approach it should be manufactured a heterostructure with specific configura-
tion. Farther it is necessary to dope certain areas of the heterostructure by diffusion or by ion implantation.
After finishing of the doping process the dopant and/or radiation defects should be annealed. We consider
an approach of optimization of dopant and/or radiation defects for manufacturing more compact double-
base heterotransistors.
KEYWORDS
Field-effect heterotransistors; double-base heterotransistors; increasing of integration rate
1. INTRODUCTION
Development of the solid state electronic devices leads to necessity to decrease dimensions of
elements of integrated circuits, to increase their performance and reliability. One way to increase
performance of the solid state electronic devices is searching materials with higher charge carriers
mobility [1-3]. Another way to increase the performance is development of new or optimization
of existing technological processes [4-7]. To increase reliability of the solid state electronic de-
vices are could be also used development of new or optimization of existing technological
processes [4-7]. One way to decrease dimensions of elements of integrated circuits is using laser
or microwave types of annealing [8-10]. Using these types of annealing leads to generation inho-
mogenous distribution of temperature. The inhomogeneity with account Arrhenius law leads to
inhomogeneity of dopant and radiation defects diffusion coefficients and another parameters. The
inhomogeneity of parameters gives us possibility to decrease dimensions of elements of inte-
grated circuits. Properties of materials could be also changed by using radiation processing
[11,12].
In this paper we consider a heterostructure, which consist of a substrate and epitaxial layer (see
Figs. 1). The epitaxial layer includes into itself several sections, which manufactured by using
another materials (see Figs. 1). The sections should be doped by diffusion or by ion implantation
to generation required type of conductivity (n or p). We assume, that another area of epitaxial
layer has reverse type of conductivity (p or n). We also assume, that substrate is insulator. Farther
we consider annealing dopant and /or radiation defects. Increasing of annealing time leads to in-
International Journal of Applied Control, Electrical and Electronics Engineering (IJACEEE) Vol 3, No.4, November 2015
14
creasing of diffusion length into nearest materials. Decreasing of annealing time did not lead to
full doping of sections of the epitaxial layer. Main aim of the present paper is choosing compro-
mise value of annealing time.
EmitterBase1 Base2 Collector
Fig. 1a. Heterostructure which consist of a substrate and a multisectional epitaxial layer. Side view
EmitterBase1 Base2 Collector
Fig.1b. Heterostructure which consist of a substrate and a multisectional epitaxial layer. Top view
2. METHOD OF SOLUTION
To achieve our aim we determine spatio-temporal distributions of concentrations of dopant and
radiation defects. We determine the required distribution of concentrations of dopant by solution
of the following boundary problem
( ) ( ) ( ) ( )






+





+





=
z
tzyxC
D
zy
tzyxC
D
yx
tzyxC
D
xt
tzyxC
CCC
∂
∂
∂
∂
∂
∂
∂
∂
∂
∂
∂
∂
∂
∂ ,,,,,,,,,,,,
. (1)
( ) 0
,,,
0
=
∂
∂
=x
x
tzyxC
,
( ) 0
,,,
=
∂
∂
= xLx
x
tzyxC
,
( ) 0
,,,
0
=
∂
∂
=y
y
tzyxC
,
( ) 0
,,,
=
∂
∂
= yLx
y
tzyxC
,
( ) 0
,,,
0
=
∂
∂
=z
z
tzyxC
,
( ) 0
,,,
=
∂
∂
= zLx
z
tzyxC
, C(x,y,z,0)=f (x,y,z). (2)
International Journal of Applied Control, Electrical and Electronics Engineering (IJACEEE) Vol 3, No.4, November 2015
15
Here C(x,y,z,t) is the spatio-temporal distribution of concentration of dopant; T is the temperature
of annealing; DС is the dopant diffusion coefficient. Value of dopant diffusion coefficient depends
on properties of materials of heterostructure, speed of heating and cooling of heterostructure (with
account Arrhenius law). Dependences of dopant diffusion coefficient on parameters could be ap-
proximated by the following relation [12-14]
( ) ( )
( )
( ) ( )
( ) 







++





+= 2*
2
2*1
,,,,,,
1
,,,
,,,
1,,,
V
tzyxV
V
tzyxV
TzyxP
tzyxC
TzyxDD LC ςςξ γ
γ
. (3)
where DL (x,y,z,T) is the spatial (due to presents several layers in heterostructure) and temperature
(due to Arrhenius law) dependences of dopant diffusion coefficient; P (x,y,z,T) is the limit of so-
lubility of dopant; parameter γ depends on properties of materials and could be integer in the fol-
lowing interval γ∈[1,3] [13]; V (x,y,z,t) is the spatio-temporal distribution of concentration of rad-
iation vacancies; V*
is the equilibrium distribution of concentration of vacancies. Concentrational
dependence of dopant diffusion coefficient has been described in details in [13]. It should be
noted, that using diffusion type of doping did not generation radiation defects. In this situation
ζ1= ζ2= 0. We determine spatio-temporal distributions of concentrations of radiation defects by
solving the following boundary problem [12,14]
( ) ( ) ( ) ( ) ( ) ( ) ×−





∂
∂
∂
∂
+





∂
∂
∂
∂
=
∂
∂
Tzyxk
y
tzyxI
TzyxD
yx
tzyxI
TzyxD
xt
tzyxI
IIII ,,,
,,,
,,,
,,,
,,,
,,,
,
( ) ( ) ( ) ( ) ( ) ( )tzyxVtzyxITzyxk
z
tzyxI
TzyxD
z
tzyxI VII ,,,,,,,,,
,,,
,,,,,, ,
2
−





∂
∂
∂
∂
+× (4)
( ) ( ) ( ) ( ) ( ) ( ) ×−





∂
∂
∂
∂
+





∂
∂
∂
∂
=
∂
∂
Tzyxk
y
tzyxV
TzyxD
yx
tzyxV
TzyxD
xt
tzyxV
VVVV ,,,
,,,
,,,
,,,
,,,
,,,
,
( ) ( ) ( ) ( ) ( ) ( )tzyxVtzyxITzyxk
z
tzyxV
TzyxD
z
tzyxV VIV ,,,,,,,,,
,,,
,,,,,, ,
2
−





∂
∂
∂
∂
+× .
Boundary and initial conditions for these equations are
( ) 0
,,,
0
=
∂
∂
=x
x
tzyxρ
,
( ) 0
,,,
=
∂
∂
= xLx
x
tzyxρ
,
( ) 0
,,,
0
=
∂
∂
=y
y
tzyxρ
,
( ) 0
,,,
=
∂
∂
= yLy
y
tzyxρ
,
( ) 0
,,,
0
=
∂
∂
=z
z
tzyxρ
,
( ) 0
,,,
=
∂
∂
= zLz
z
tzyxρ
, ρ (x,y,z,0)=fρ (x,y,z). (5)
Here ρ=I,V; I(x,y,z,t) is the spatio-temporal distribution of concentration of radiation interstitials;
Dρ(x,y,z,T) are the diffusion coefficients of point radiation defects; terms V2
(x,y,z,t) and I2
(x,y,z,t)
correspond to generation divacancies and diinterstitials; kI,V(x,y,z,T) is the parameter of recombi-
nation of point radiation defects; kI,I(x,y,z,T) and kV,V(x,y,z,T) are the parameters of generation of
simplest complexes of point radiation defects.
International Journal of Applied Control, Electrical and Electronics Engineering (IJACEEE) Vol 3, No.4, November 2015
16
We determine spatio-temporal distributions of concentrations of divacancies ΦV(x,y,z,t) and diin-
terstitials ΦI(x,y,z,t) by solving the following boundary problem [12,14]
( ) ( ) ( ) ( ) ( ) +




 Φ
+




 Φ
=
Φ
ΦΦ
y
tzyx
TzyxD
yx
tzyx
TzyxD
xt
tzyx I
I
I
I
I
∂
∂
∂
∂
∂
∂
∂
∂
∂
∂ ,,,
,,,
,,,
,,,
,,,
( ) ( ) ( ) ( ) ( ) ( )tzyxITzyxktzyxITzyxk
z
tzyx
TzyxD
z
III
I
I ,,,,,,,,,,,,
,,,
,,, 2
, −+




 Φ
+ Φ
∂
∂
∂
∂
(6)
( ) ( ) ( ) ( ) ( ) +




 Φ
+




 Φ
=
Φ
ΦΦ
y
tzyx
TzyxD
yx
tzyx
TzyxD
xt
tzyx V
V
V
V
V
∂
∂
∂
∂
∂
∂
∂
∂
∂
∂ ,,,
,,,
,,,
,,,
,,,
( ) ( ) ( ) ( ) ( ) ( )tzyxVTzyxktzyxVTzyxk
z
tzyx
TzyxD
z
VVV
V
V ,,,,,,,,,,,,
,,,
,,, 2
, −+




 Φ
+ Φ
∂
∂
∂
∂
,
( )
0
,,,
0
=
∂
Φ∂
=x
x
tzyxρ
,
( )
0
,,,
=
∂
Φ∂
= xLx
x
tzyxρ
,
( )
0
,,,
0
=
∂
Φ∂
=y
y
tzyxρ
,
( )
0
,,,
=
∂
Φ∂
= yLy
y
tzyxρ
,
( )
0
,,,
0
=
∂
Φ∂
=z
z
tzyxρ
,
( )
0
,,,
=
∂
Φ∂
= zLz
z
tzyxρ
, ΦI (x,y,z,0)=fΦI (x,y,z), ΦV (x,y,z,0)=fΦV (x,y,z). (7)
Here DΦρ(x,y,z,T) are the diffusion coefficients of the above complexes of radiation defects;
kI(x,y,z,T) and kV (x,y,z,T) are the parameters of decay of these complexes.
We determine spatio-temporal distribution of concentrations of dopant and radiation defects by
method of averaging of function corrections [15] with decreasing quantity of iteration steps [16].
Framework the approach we used solutions of Eqs. (1), (4), (6) with averaged values of diffusion
coefficients D0L, D0I, D0V, D0ΦI, D0ΦV, zero values of parameters of recombination of radiation de-
fects and parameters of generation and decay of their complexes as initial-order approximations
of required concentrations. The initial-order approximations could be written as
( ) ( ) ( ) ( ) ( )∑+=
∞
=1
1
21
,,,
n
nCnnnnC
zyxzyx
tezcycxcF
LLLLLL
tzyxC ,
( ) ( ) ( ) ( ) ( )∑+=
∞
=1
1
21
,,,
n
nInnnnI
zyxzyx
tezcycxcF
LLLLLL
tzyxI ,
( ) ( ) ( ) ( ) ( )∑+=
∞
=1
1
21
,,,
n
nVnnnnV
zyxzyx
tezcycxcF
LLLLLL
tzyxV ,
( ) ( ) ( ) ( ) ( )∑+=Φ
∞
=
ΦΦ
1
1
21
,,,
n
nnnnn
zyxzyx
I tezcycxcF
LLLLLL
tzyx II
,
( ) ( ) ( ) ( ) ( )∑+=Φ
∞
=
ΦΦ
1
1
21
,,,
n
nnnnn
zyxzyx
V tezcycxcF
LLLLLL
tzyx VV
,
International Journal of Applied Control, Electrical and Electronics Engineering (IJACEEE) Vol 3, No.4, November 2015
17
where ( )
















++−= 2220
22 111
exp
zyx
n
LLL
tDnte ρρ π , ( ) ( ) ( ) ( )∫ ∫ ∫=
x y zL L L
nnnn udvdwdwvufwcvcucF
0 0 0
,,ρρ ,
cn(χ)=cos(πnχ/Lχ).
We determine approximations of the second-and higher-orders framework standard iteration pro-
cedure of method of averaging of function corrections [16,17]. Framework this procedure to de-
termine the n-th-order approximation of concentrations of dopant and radiation defects we shall
replace the required functions C(x,y,z,t), I(x,y,z,t), V(x,y,z,t), ΦI(x,y,z,t) and ΦV(x,y,z,t) in the right
sides of Eqs. (1), (4), (6) on the following sums αnρ+ρ n-1(x,y,z,t), when αnρ are not yet known av-
erage values of the n-th-order approximation of the above concentrations. The replacement leads
to the following relations for the second-order approximations of the required concentrations
( ) ( ) ( ) ( )
( )
( )




×








++= ∗∗
x
tzyxC
V
tzyxV
V
tzyxV
TzyxD
xt
tzyxC
L
∂
∂
ςς
∂
∂
∂
∂ ,,,,,,,,,
1,,,
,,, 1
2
2
21
2
( )[ ]
( )
( ) ( ) ( )
( )



×








+++









 +
+× ∗∗ 2
2
21
12 ,,,,,,
1,,,
,,,
,,,
1
V
tzyxV
V
tzyxV
TzyxD
yTzyxP
tzyxC
L
C
ςς
∂
∂α
ξ γ
γ
( )[ ]
( )
( ) ( )[ ]
( )



×





 +
++









 +
+×
TzyxP
tzyxC
zy
tzyxC
TzyxP
tzyxC CC
,,,
,,,
1
,,,
,,,
,,,
1 12112
γ
γ
γ
γ
α
ξ
∂
∂
∂
∂α
ξ
( ) ( ) ( )
( )
( )












++× ∗∗
z
tzyxC
V
tzyxV
V
tzyxV
TzyxDL
∂
∂
ςς
,,,,,,,,,
1,,, 1
2
2
21 (8)
( ) ( ) ( ) ( ) ( ) +





+





=
y
tzyxI
TzyxD
yx
tzyxI
TzyxD
xt
tzyxI
II
∂
∂
∂
∂
∂
∂
∂
∂
∂
∂ ,,,
,,,
,,,
,,,
,,, 112
( ) ( ) ( ) ( )[ ] ( )[ ]−++−





+ tzyxVtzyxITzyxk
z
tzyxI
TzyxD
z
VIVII ,,,,,,,,,
,,,
,,, 1212,
1
αα
∂
∂
∂
∂
( ) ( )[ ]2
12, ,,,,,, tzyxITzyxk III +− α (9)
( ) ( ) ( ) ( ) ( ) +





+





=
y
tzyxV
TzyxD
yx
tzyxV
TzyxD
xt
tzyxV
VV
∂
∂
∂
∂
∂
∂
∂
∂
∂
∂ ,,,
,,,
,,,
,,,
,,, 112
( ) ( ) ( ) ( )[ ] ( )[ ]−++−





+ tzyxVtzyxITzyxk
z
tzyxV
TzyxD
z
VIVIV ,,,,,,,,,
,,,
,,, 1212,
1
αα
∂
∂
∂
∂
( ) ( )[ ]2
12, ,,,,,, tzyxVTzyxk VVV +− α
( ) ( ) ( ) ( ) ( )++




 Φ
=
Φ
Φ tzyxITzyxk
x
tzyx
TzyxD
xt
tzyx
II
I
I
I
,,,,,,
,,,
,,,
,,, 2
,
12
∂
∂
∂
∂
∂
∂
( ) ( ) ( ) ( ) −




 Φ
+




 Φ
+ ΦΦ
z
tzyx
TzyxD
zy
tzyx
TzyxD
y
I
I
I
I
∂
∂
∂
∂
∂
∂
∂
∂ ,,,
,,,
,,,
,,, 11
( ) ( )tzyxITzyxkI ,,,,,,− (10)
International Journal of Applied Control, Electrical and Electronics Engineering (IJACEEE) Vol 3, No.4, November 2015
18
( ) ( ) ( ) ( ) ( )++




 Φ
=
Φ
Φ tzyxVTzyxk
x
tzyx
TzyxD
xt
tzyx
VV
V
V
V
,,,,,,
,,,
,,,
,,, 2
,
12
∂
∂
∂
∂
∂
∂
( ) ( ) ( ) ( ) −




 Φ
+




 Φ
+ ΦΦ
z
tzyx
TzyxD
zy
tzyx
TzyxD
y
V
V
V
V
∂
∂
∂
∂
∂
∂
∂
∂ ,,,
,,,
,,,
,,, 11
( ) ( )tzyxVTzyxkV ,,,,,,− .
Integration of left and right sides of Eqs. (8)-(10) on time gives us possibility to obtain relations
for the second-order approximations of the required concentrations in the final form
( ) ( ) ( ) ( )
( )
( )




∫ ×








++= ∗∗
t
L
x
zyxC
V
zyxV
V
zyxV
TzyxD
x
tzyxC
0
1
2
2
212
,,,,,,,,,
1,,,,,,
∂
τ∂τ
ς
τ
ς
∂
∂
( )[ ]
( )
( ) ( )
( )



∫ ×








+++









 +
+× ∗∗
t
C
V
zyxV
V
zyxV
y
d
TzyxP
zyxC
0
2
2
21
12 ,,,,,,
1
,,,
,,,
1
τ
ς
τ
ς
∂
∂
τ
τα
ξ γ
γ
( ) ( )[ ]
( )
( ) ( )



∫ ×+









 +
+×
t
C
L
z
zyxC
z
d
y
zyxC
TzyxP
zyxC
TzyxD
0
1112 ,,,,,,
,,,
,,,
1,,,
∂
τ∂
∂
∂
τ
∂
τ∂τα
ξ γ
γ
( ) ( ) ( )
( )
( )zyxfd
V
zyxV
V
zyxV
TzyxD CL ,,
,,,,,,
1,,, 2
2
21 +












++× ∗∗
τ
τ
ς
τ
ς (8a)
( ) ( )
( )
( )
( )
+





∫+





∫=
t
I
t
I d
y
zyxI
TzyxD
y
d
x
zyxI
TzyxD
x
tzyxI
0
1
0
1
2
,,,
,,,
,,,
,,,,,, τ
∂
τ∂
∂
∂
τ
∂
τ∂
∂
∂
( ) ( ) ( ) ( )[ ] −∫ +−





∫+
t
III
t
I dzyxITzyxkd
z
zyxI
TzyxD
z 0
2
12,
0
1
,,,,,,
,,,
,,, ττατ
∂
τ∂
∂
∂
( ) ( )[ ] ( )[ ] ( )zyxfdzyxVzyxITzyxk I
t
VIVI ,,,,,,,,,,,
0
1212, +∫ ++− ττατα (9a)
( ) ( ) ( ) ( ) ( ) +





∫+





∫=
t
V
t
V d
y
zyxV
TzyxD
y
d
x
zyxV
TzyxD
x
tzyxV
0
1
0
1
2
,,,
,,,
,,,
,,,,,, τ
∂
τ∂
∂
∂
τ
∂
τ∂
∂
∂
( ) ( ) ( ) ( )[ ] −∫ +−





∫+
t
IVV
t
V dzyxVTzyxkd
z
zyxV
TzyxD
z 0
2
12,
0
1
,,,,,,
,,,
,,, ττατ
∂
τ∂
∂
∂
( ) ( )[ ] ( )[ ] ( )zyxfdzyxVzyxITzyxk V
t
VIVI ,,,,,,,,,,,
0
1212, +∫ ++− ττατα
( ) ( ) ( ) ( ) ( ) +∫−





∫
Φ
=Φ Φ
t
I
t
I
II dzyxITzyxkd
x
zyx
TzyxD
x
tzyx
00
1
2 ,,,,,,
,,,
,,,,,, τττ
∂
τ∂
∂
∂
( ) ( ) ( ) ( ) +





∫
Φ
+





∫
Φ
+ ΦΦ
t
I
I
t
I
I d
z
zyx
TzyxD
z
d
y
zyx
TzyxD
y 0
1
0
1 ,,,
,,,
,,,
,,, τ
∂
τ∂
∂
∂
τ
∂
τ∂
∂
∂
( ) ( ) ( )zyxfdzyxITzyxk I
t
II ,,,,,,,,
0
2
, Φ+∫+ ττ (10a)
International Journal of Applied Control, Electrical and Electronics Engineering (IJACEEE) Vol 3, No.4, November 2015
19
( ) ( ) ( ) ( ) ( ) +∫−





∫
Φ
=Φ Φ
t
V
t
V
VV dzyxVTzyxkd
x
zyx
TzyxD
x
tzyx
00
1
2 ,,,,,,
,,,
,,,,,, τττ
∂
τ∂
∂
∂
( ) ( ) ( ) ( ) +





∫
Φ
+





∫
Φ
+ ΦΦ
t
V
V
t
V
V d
z
zyx
TzyxD
z
d
y
zyx
TzyxD
y 0
1
0
1 ,,,
,,,
,,,
,,, τ
∂
τ∂
∂
∂
τ
∂
τ∂
∂
∂
( ) ( ) ( )zyxfdzyxVTzyxk V
t
VV ,,,,,,,,
0
2
, Φ+∫+ ττ .
We determine average values of the second-orders approximations of the required functions by
the standard relation [15,16]
( ) ( )[ ]∫ ∫ ∫ ∫ −
Θ
=
Θ
0 0 0 0
122 ,,,,,,
1 x y zL L L
zyx
tdxdydzdtzyxtzyx
LLL
ρρα ρ . (11)
Substitution of the relations (8a)-(10a) into the relation (11) gives us possibility to obtain rela-
tions for the required average values α2ρ
( )∫ ∫ ∫=
x y zL L L
C
zyx
С xdydzdzyxf
LLL 0 0 0
2 ,,
1
α , (12)
( ) [{ −+−−+++= 112010200
2
0021001
00
2 41
2
1
IVIIIVVIIIVVIIIV
II
I AAAAAAA
A
ααα
( )
00
0021001
2
1
0 0 0 2
1
,,
1
II
IVVIIIV
L L L
I
zyx A
AAA
xdydzdzyxf
LLL
x y z α+++
−








∫ ∫ ∫− , (13)
( )
4
313
4
2
3
4
2
4
4
42
1
B
AB
A
ByB
yB
AB
B
V
+
−




 −
+−
+
=α .
Parameters Aabij and other parameters in the relations (13) are presented in the Appendix. Parame-
ters αabij and other parameters in the relations (13) could be written as
( ) ( ) ( ) +∫ ∫ ∫ ∫−Θ
Θ
−=
Θ
Φ
0 0 0 0
202 ,,,,,,
1 x y z
I
L L L
I
zyx
II tdxdydzdtzyxITzyxkt
LLL
Aα
( )∫ ∫ ∫+ Φ
x y zL L L
I
zyx
xdydzdzyxf
LLL 0 0 0
,,
1
(14)
( ) ( ) ( ) +∫ ∫ ∫ ∫−Θ
Θ
−=
Θ
Φ
0 0 0 0
202 ,,,,,,
1 x y z
V
L L L
V
zyx
VV tdxdydzdtzyxVTzyxkt
LLL
Aα
( )∫ ∫ ∫+ Φ
x y zL L L
V
zyx
xdydzdzyxf
LLL 0 0 0
,,
1
.
The considered substitution gives us possibility to obtain equation for parameter α 2C. Solution of
the equation depends on value of parameter γ. Analysis of spatio- temporal distributions of con-
centrations of dopant and radiation defects has been done by using their second-order approxima-
tions framework method of averaging of function corrections with decreased quantity of iterative
International Journal of Applied Control, Electrical and Electronics Engineering (IJACEEE) Vol 3, No.4, November 2015
20
steps. The second-order approximation is usually a sufficient approximation to obtain qualitative
and some quantitative results. Results of analytical modeling have been checked numerically.
3. DISCUSSION
By using the calculated in the previous section relations we analyzed dynamic of redistribution of
dopant with account redistribution of radiation defects. Figs. 2 show typical distributions of con-
centrations of infused and implanted dopants for this case, when dopant diffusion coefficient in
the epitaxial layer is larger, than in the substrate. The figures show, that interface between mate-
rials gives a possibility to increase sharpness of p-n-junction and at the same time to increase ho-
mogeneity of concentration of dopant in doped area.
Fig. 2a. Distributions of concentrations of infused dopant in heterostructure from Fig. 1 in direction, which
is perpendicular to interface between layers of heterostructure. Increasing of number of curves corresponds
to increasing of difference between values of dopant diffusion coefficient in layers of heterostructure. The
curves have been calculated under condition, when dopant diffusion coefficient in doped layer is larger,
than in nearest layer
x
0.0
0.5
1.0
1.5
2.0
C(x,Θ)
2
3
4
1
0 L/4 L/2 3L/4 L
Epitaxial layer Substrate
Fig. 2b. Spatial distributions of implanted dopant concentration after annealing. Curves 1 and 2 are calcu-
lated distributions of dopant concentration in homogenous structure for two values of annealing time.
Curves 3 and 4 are calculated distributions of dopant concentration in heterostructure for the same values of
annealing time under condition, when dopant diffusion coefficient in doped layer is larger, than in nearest
layer
International Journal of Applied Control, Electrical and Electronics Engineering (IJACEEE) Vol 3, No.4, November 2015
21
It is known, that increasing of annealing time leads to increasing of diffusion length into nearest
materials of heterostructure. Decrease of annealing time does not allow to fully doped section of
the epitaxial layer. We determine compromise annealing time framework recently introduced cri-
terion [17-22]. Framework the criterion we approximate real distribution of concentration of do-
pant by the step-wise function ψ (x,y,z) (see Figs. 3)
C(x,Θ)
0 Lx
2
1
3
4
Fig.3a. Spatial distributions of concentration of implanted dopant in heterostructure from Fig. 1. Curve 1 is
the idealized distribution of dopant. Curves 2-4 are the real distributions of dopant for different values of
annealing time. Increasing of number of curve corresponds to increasing of annealing time
x
C(x,Θ)
1
2
3
4
0 L
Fig.3b. Spatial distributions of concentration of infused dopant in heterostructure from Fig. 1. Curve 1 is
the idealized distribution of dopant. Curves 2-4 are the real distributions of dopant for different values of
annealing time. Increasing of number of curve corresponds to increasing of annealing time
( ) ( )[ ]∫ ∫ ∫ −Θ=
x y zL L L
zyx
xdydzdzyxzyxC
LLL
U
0 0 0
,,,,,
1
ψ . (15)
Distributions of concentrations of dopants in Figs. 2 corresponds exactly to compromise annealin
time. It should be noted, that presents of interface between layers of heterostructure gives us pos-
sibility to manufacture more thin heterotransistor.
International Journal of Applied Control, Electrical and Electronics Engineering (IJACEEE) Vol 3, No.4, November 2015
22
4. CONCLUSIONS
In this paper we introduce an approach to manufacture double-base heterotransistor. Several rec-
ommendations for optimization of diffusion and ion types of doping to decrease dimensions of
double-base heterotransistor have been formulated.
ACKNOWLEDGEMENTS
This work is supported by the agreement of August 27, 2013 № 02.В.49.21.0003 between The
Ministry of education and science of the Russian Federation and Lobachevsky State University of
Nizhni Novgorod and educational fellowship for scientific research of Government of Russian
and of Nizhny Novgorod State University of Architecture and Civil Engineering.
REFERENCES
[1] A.A. Andronov, N.T. Bagraev, L.E. Klyachkin, A.M. Malyarenko, S.B. Robozerov. Ultrashallow p+-
n-junction in silicon (111): electron-beam diagnostics of nearsurface region. Semiconductors. Vol. 33
(1). P. 58-63 (1999).
[2] M. Nichterwitz, R. Caballero, C.A. Kaufmann, H.-W. Schock, T. Unold. Generation-dependent
charge carrier transport in Cu(In,Ga)Se2/CdS/ZnO thin-film solar-cells. J. Appl. Phys. Vol. 113 (16).
P. 044515-044530 (2013).
[3] J.Y. Fang, G.Y. Lee, J.I. Chyi, C.P. Hsu, Y.W. Kang, K.C. Fang, W.L. Kao, D.J. Yao, C.H. Hsu, Y.F.
Huang, C.C. Chen, S.S. Li, J.A. Yeh, F. Ren, Y.L. Wang. Viscosity-dependent drain current noise of
AlGaN/GaN high electron mobility transistor in polar liquids. J. Appl. Phys. Vol. 114 (20). P.
204503-204507 (2013).
[4] G. Volovich. Modern chips UM3Ch class D manufactured by firm MPS. Modern Electronics. Issue 2.
P. 10-17 (2006).
[5] A. Kerentsev, V. Lanin. Constructive-technological features of MOSFET-transistors. Power Electron-
ics. Issue 1. P. 34-38 (2008).
[6] O.A. Ageev, A.E. Belyaev, N.S. Boltovets, V.N. Ivanov, R.V. Konakova, Ya.Ya. Kudryk, P.M. Lyt-
vyn, V.V. Milenin, A.V. Sachenko. Influence of displacement of the electron-hole equilibrium on the
process of transition metals diffusion in GaAs. Semiconductors. Vol. 43 (7). P. 897-903 (2009).
[7] N.I. Volokobinskaya, I.N. Komarov, T.V. Matioukhina, V.I. Rechetniko, A.A. Rush, I.V. Falina, A.S.
Yastrebov. Investigation of technological processes of manufacturing of the bipolar power high-
voltage transistors with a grid of inclusions in the collector region. Semiconductors. Vol. 35 (8). P.
1013-1017 (2001).
[8] K.K. Ong, K.L. Pey, P.S. Lee, A.T.S. Wee, X.C. Wang, Y.F. Chong. Dopant distribution in the re-
crystallization transient at the maximum melt depth induced by laser annealing. Appl. Phys. Lett. 89
(17), 172111-172114 (2006).
[9] H.T. Wang, L.S. Tan, E. F. Chor. Pulsed laser annealing of Be-implanted GaN J. Appl. Phys. 98 (9),
094901-094905 (2006).
[10] Yu.V. Bykov, A.G. Yeremeev, N.A. Zharova, I.V. Plotnikov, K.I. Rybakov, M.N. Drozdov, Yu.N.
Drozdov, V.D. Skupov. Diffusion processes in semiconductor structures during microwave annealing.
Radiophysics and Quantum Electronics. Vol. 43 (3). P. 836-843 (2003).
[11] V.V. Kozlivsky. Modification of semiconductors by proton beams (Nauka, Sant-Peterburg, 2003, in
Russian).
[12] V.L. Vinetskiy, G.A. Kholodar', Radiative physics of semiconductors. ("Naukova Dumka", Kiev,
1979, in Russian).
[13] Z.Yu. Gotra. Technology of microelectronic devices (Radio and communication, Moscow, 1991).
[14] P.M. Fahey, P.B. Griffin, J.D. Plummer. Point defects and dopant diffusion in silicon. Rev. Mod.
Phys. 1989. V. 61. № 2. P. 289-388.
[15] Yu.D. Sokolov. About the definition of dynamic forces in the mine lifting. Applied Mechanics. Vol.1
(1). P. 23-35 (1955).
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23
[16] E.L. Pankratov. Dynamics of delta-dopant redistribution during heterostructure growth. The European
Physical Journal B. 2007. V. 57, №3. P. 251-256.
[17] E.L. Pankratov. Dopant Diffusion Dynamics and Optimal Diffusion Time as Influenced by Diffusion-
Coefficient Nonuniformity. Russian Microelectronics. 2007. V.36 (1). P. 33-39.
[18] E.L. Pankratov. Redistribution of dopant during annealing of radiative defects in a multilayer struc-
ture by laser scans for production an implanted-junction rectifiers.Int. J. Nanoscience. Vol. 7 (4-5). P.
187–197 (2008).
[19] E.L. Pankratov. Decreasing of depth of implanted-junction rectifier in semiconductor heterostructure
by optimized laser annealing. J. Comp. Theor. Nanoscience. Vol. 7 (1). P. 289-295 (2010).
[20] E.L. Pankratov, E.A. Bulaeva. Application of native inhomogeneities to increase compactness of ver-
tical field-effect transistors. J. Comp. Theor. Nanoscience. Vol. 10 (4). P. 888-893 (2013).
[21] E.L. Pankratov, E.A. Bulaeva. An approach to manufacture of bipolar transistors in thin film struc-
tures. On the method of optimization. Int. J. Micro-Nano Scale Transp. Vol. 4 (1). P. 17-31 (2014).
[22] E.L. Pankratov, E.A. Bulaeva. Increasing of sharpness of diffusion-junction heterorectifier by using
radiation processing. Int. J. Nanoscience. Vol. 11 (5). P. 1250028-1250035 (2012).
Authors:
Pankratov Evgeny Leonidovich was born at 1977. From 1985 to 1995 he was educated in a secondary
school in Nizhny Novgorod. From 1995 to 2004 he was educated in Nizhny Novgorod State University:
from 1995 to 1999 it was bachelor course in Radiophysics, from 1999 to 2001 it was master course in Ra-
diophysics with specialization in Statistical Radiophysics, from 2001 to 2004 it was PhD course in Radio-
physics. From 2004 to 2008 E.L. Pankratov was a leading technologist in Institute for Physics of Micro-
structures. From 2008 to 2012 E.L. Pankratov was a senior lecture/Associate Professor of Nizhny Novgo-
rod State University of Architecture and Civil Engineering. Now E.L. Pankratov is in his Full Doctor
course in Radiophysical Department of Nizhny Novgorod State University. He has 110 published papers in
area of his researches.
Bulaeva Elena Alexeevna was born at 1991. From 1997 to 2007 she was educated in secondary school of
village Kochunovo of Nizhny Novgorod region. From 2007 to 2009 she was educated in boarding school
“Center for gifted children”. From 2009 she is a student of Nizhny Novgorod State University of Architec-
ture and Civil Engineering (spatiality “Assessment and management of real estate”). At the same time she
is a student of courses “Translator in the field of professional communication” and “Design (interior art)” in
the University. E.A. Bulaeva was a contributor of grant of President of Russia (grant № MK-548.2010.2).
She has 74 published papers in area of her researches.
APPENDIX
( ) ( ) ( ) ( )∫ ∫ ∫ ∫−Θ
Θ
=
Θ
0 0 0 0
11, ,,,,,,,,,
1 x y zL L L
ji
ba
zyx
abij tdxdydzdtzyxVtzyxITzyxkt
LLL
A ,
( )2
0000
2
00
2
00
2
004 2 VVIIIVIVIV AAAAAB −−= , −++= 2
001000
3
0001
2
00003 IVIIIVIVIVIVIV AAAAAAAB
( ) ( ) ( )[ ]−++−+++−− 121224 10100010010000010000
2
00 VVIVIIIIIVIVIVIVVVIIIV AAAAAAAAAAA
2
000100
2
00001010 24 IVIVIVIVIIIVIV AAAAAAA +− , ( ){ ×−+++= 00
2
01
2
00
2
1001
2
002 1 IIIVIVIIIVIV AAAAAAB
( ) ( +++








∫ ∫ ∫−−× 0100000100
0 0 0
2011 2,,
1
4 IVIVIVIVIV
L L L
I
zyx
IIIV AAAAAxdydzdzyxf
LLL
AA
x y z
)} ( ) ([{ ++−+++−+ 101000100100000100101000 21224 VVIVIIIIIVIVIVIVIIIVIIIV AAAAAAAAAAAA
)] ( ) ( ) ( )




×−−∫ ∫ ∫+++++ 1120
0 0 0
100101
2
2,,
2
121 IVVV
L L L
V
zyx
IIIVIV AAxdydzdzyxf
LLL
AAA
x y z
( )] ( ) ( )[ +++−+++++× 12121 10100010010010010100 VVIVIIIIIVIVIIIVIVII AAAAAAAAAA
International Journal of Applied Control, Electrical and Electronics Engineering (IJACEEE) Vol 3, No.4, November 2015
24
]}00012 IVIV AA+ , ( ) [ −−−++= 2011000100
2
100101001 812 IIIVIIIVIVIIIVIVIV AAAAAAAAAB
( ) ( )×−+++




∫ ∫ ∫− 00101000010000
0 0 0
4,,
1
IIIVIIIVIVIVIV
L L L
I
zyx
AAAAAAAxdydzdzyxf
LLL
x y z
( ) ( ) ( )




×−−+++∫ ∫ ∫−× 1120100101
0 0 0
002
01 1,,
2
2 IVVVIIIVIV
L L L
I
zyx
II
IV AAAAAxdydzdzyxf
LLL
A
A
x y z
( )] ( ) ( )[ +++−+++++× 121212 10100010010010010100 VVIVIIIIIVIVIIIVIVII AAAAAAAAAA
]00012 IVIV AA+ , ( ) −








−∫ ∫ ∫+= 11
0 0 0
20
2
01000 ,,
1
4 IV
L L L
I
zyx
IIIVII Axdydzdzyxf
LLL
AAAB
x y z
( ) ( ) ( )




+−−+++∫ ∫ ∫− 112000100101
0 0 0
00
21,,
2
IVVVIIIIIVIV
L L L
V
zyx
II
AAAAAAxdydzdzyxf
LLL
A x y z
( )] ( )2
1001
2
01
2
100101 11 ++++++ IIIVIVIIIVIV AAAAAA , −+−+= 62
3 32
Bqpqy
3 32
qpq ++− , ( ) ( )





−+−−+= 031
22
1
2
320
3
2
82
6
4
278
1
BBB
B
BBBB
B
q , 2
2
3 48 BByA −+= ,
( )[ ] 722823 2
2031 BBBBp −−= .

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ON OPTIMIZATION OF MANUFACTURING PLANAR DOUBLE-BASE HETEROTRANSISTORS TO DECREASE THEIR DIMENSIONS

  • 1. International Journal of Applied Control, Electrical and Electronics Engineering (IJACEEE) Vol 3, No.4, November 2015 DOI: 10.5121/ijaceee.2015.3402 13 ON OPTIMIZATION OF MANUFACTURING PLANAR DOUBLE-BASE HETEROTRANSIS- TORS TO DECREASE THEIR DIMENSIONS E.L. Pankratov1 , E.A. Bulaeva1,2 1 Nizhny Novgorod State University, 23 Gagarin avenue, Nizhny Novgorod, 603950, Russia 2 Nizhny Novgorod State University of Architecture and Civil Engineering, 65 Il'insky street, Nizhny Novgorod, 603950, Russia ABSTRACT In this paper we consider an approach of manufacturing of double-base heterotransistors to decrease their dimensions. Framework the approach it should be manufactured a heterostructure with specific configura- tion. Farther it is necessary to dope certain areas of the heterostructure by diffusion or by ion implantation. After finishing of the doping process the dopant and/or radiation defects should be annealed. We consider an approach of optimization of dopant and/or radiation defects for manufacturing more compact double- base heterotransistors. KEYWORDS Field-effect heterotransistors; double-base heterotransistors; increasing of integration rate 1. INTRODUCTION Development of the solid state electronic devices leads to necessity to decrease dimensions of elements of integrated circuits, to increase their performance and reliability. One way to increase performance of the solid state electronic devices is searching materials with higher charge carriers mobility [1-3]. Another way to increase the performance is development of new or optimization of existing technological processes [4-7]. To increase reliability of the solid state electronic de- vices are could be also used development of new or optimization of existing technological processes [4-7]. One way to decrease dimensions of elements of integrated circuits is using laser or microwave types of annealing [8-10]. Using these types of annealing leads to generation inho- mogenous distribution of temperature. The inhomogeneity with account Arrhenius law leads to inhomogeneity of dopant and radiation defects diffusion coefficients and another parameters. The inhomogeneity of parameters gives us possibility to decrease dimensions of elements of inte- grated circuits. Properties of materials could be also changed by using radiation processing [11,12]. In this paper we consider a heterostructure, which consist of a substrate and epitaxial layer (see Figs. 1). The epitaxial layer includes into itself several sections, which manufactured by using another materials (see Figs. 1). The sections should be doped by diffusion or by ion implantation to generation required type of conductivity (n or p). We assume, that another area of epitaxial layer has reverse type of conductivity (p or n). We also assume, that substrate is insulator. Farther we consider annealing dopant and /or radiation defects. Increasing of annealing time leads to in-
  • 2. International Journal of Applied Control, Electrical and Electronics Engineering (IJACEEE) Vol 3, No.4, November 2015 14 creasing of diffusion length into nearest materials. Decreasing of annealing time did not lead to full doping of sections of the epitaxial layer. Main aim of the present paper is choosing compro- mise value of annealing time. EmitterBase1 Base2 Collector Fig. 1a. Heterostructure which consist of a substrate and a multisectional epitaxial layer. Side view EmitterBase1 Base2 Collector Fig.1b. Heterostructure which consist of a substrate and a multisectional epitaxial layer. Top view 2. METHOD OF SOLUTION To achieve our aim we determine spatio-temporal distributions of concentrations of dopant and radiation defects. We determine the required distribution of concentrations of dopant by solution of the following boundary problem ( ) ( ) ( ) ( )       +      +      = z tzyxC D zy tzyxC D yx tzyxC D xt tzyxC CCC ∂ ∂ ∂ ∂ ∂ ∂ ∂ ∂ ∂ ∂ ∂ ∂ ∂ ∂ ,,,,,,,,,,,, . (1) ( ) 0 ,,, 0 = ∂ ∂ =x x tzyxC , ( ) 0 ,,, = ∂ ∂ = xLx x tzyxC , ( ) 0 ,,, 0 = ∂ ∂ =y y tzyxC , ( ) 0 ,,, = ∂ ∂ = yLx y tzyxC , ( ) 0 ,,, 0 = ∂ ∂ =z z tzyxC , ( ) 0 ,,, = ∂ ∂ = zLx z tzyxC , C(x,y,z,0)=f (x,y,z). (2)
  • 3. International Journal of Applied Control, Electrical and Electronics Engineering (IJACEEE) Vol 3, No.4, November 2015 15 Here C(x,y,z,t) is the spatio-temporal distribution of concentration of dopant; T is the temperature of annealing; DС is the dopant diffusion coefficient. Value of dopant diffusion coefficient depends on properties of materials of heterostructure, speed of heating and cooling of heterostructure (with account Arrhenius law). Dependences of dopant diffusion coefficient on parameters could be ap- proximated by the following relation [12-14] ( ) ( ) ( ) ( ) ( ) ( )         ++      += 2* 2 2*1 ,,,,,, 1 ,,, ,,, 1,,, V tzyxV V tzyxV TzyxP tzyxC TzyxDD LC ςςξ γ γ . (3) where DL (x,y,z,T) is the spatial (due to presents several layers in heterostructure) and temperature (due to Arrhenius law) dependences of dopant diffusion coefficient; P (x,y,z,T) is the limit of so- lubility of dopant; parameter γ depends on properties of materials and could be integer in the fol- lowing interval γ∈[1,3] [13]; V (x,y,z,t) is the spatio-temporal distribution of concentration of rad- iation vacancies; V* is the equilibrium distribution of concentration of vacancies. Concentrational dependence of dopant diffusion coefficient has been described in details in [13]. It should be noted, that using diffusion type of doping did not generation radiation defects. In this situation ζ1= ζ2= 0. We determine spatio-temporal distributions of concentrations of radiation defects by solving the following boundary problem [12,14] ( ) ( ) ( ) ( ) ( ) ( ) ×−      ∂ ∂ ∂ ∂ +      ∂ ∂ ∂ ∂ = ∂ ∂ Tzyxk y tzyxI TzyxD yx tzyxI TzyxD xt tzyxI IIII ,,, ,,, ,,, ,,, ,,, ,,, , ( ) ( ) ( ) ( ) ( ) ( )tzyxVtzyxITzyxk z tzyxI TzyxD z tzyxI VII ,,,,,,,,, ,,, ,,,,,, , 2 −      ∂ ∂ ∂ ∂ +× (4) ( ) ( ) ( ) ( ) ( ) ( ) ×−      ∂ ∂ ∂ ∂ +      ∂ ∂ ∂ ∂ = ∂ ∂ Tzyxk y tzyxV TzyxD yx tzyxV TzyxD xt tzyxV VVVV ,,, ,,, ,,, ,,, ,,, ,,, , ( ) ( ) ( ) ( ) ( ) ( )tzyxVtzyxITzyxk z tzyxV TzyxD z tzyxV VIV ,,,,,,,,, ,,, ,,,,,, , 2 −      ∂ ∂ ∂ ∂ +× . Boundary and initial conditions for these equations are ( ) 0 ,,, 0 = ∂ ∂ =x x tzyxρ , ( ) 0 ,,, = ∂ ∂ = xLx x tzyxρ , ( ) 0 ,,, 0 = ∂ ∂ =y y tzyxρ , ( ) 0 ,,, = ∂ ∂ = yLy y tzyxρ , ( ) 0 ,,, 0 = ∂ ∂ =z z tzyxρ , ( ) 0 ,,, = ∂ ∂ = zLz z tzyxρ , ρ (x,y,z,0)=fρ (x,y,z). (5) Here ρ=I,V; I(x,y,z,t) is the spatio-temporal distribution of concentration of radiation interstitials; Dρ(x,y,z,T) are the diffusion coefficients of point radiation defects; terms V2 (x,y,z,t) and I2 (x,y,z,t) correspond to generation divacancies and diinterstitials; kI,V(x,y,z,T) is the parameter of recombi- nation of point radiation defects; kI,I(x,y,z,T) and kV,V(x,y,z,T) are the parameters of generation of simplest complexes of point radiation defects.
  • 4. International Journal of Applied Control, Electrical and Electronics Engineering (IJACEEE) Vol 3, No.4, November 2015 16 We determine spatio-temporal distributions of concentrations of divacancies ΦV(x,y,z,t) and diin- terstitials ΦI(x,y,z,t) by solving the following boundary problem [12,14] ( ) ( ) ( ) ( ) ( ) +      Φ +      Φ = Φ ΦΦ y tzyx TzyxD yx tzyx TzyxD xt tzyx I I I I I ∂ ∂ ∂ ∂ ∂ ∂ ∂ ∂ ∂ ∂ ,,, ,,, ,,, ,,, ,,, ( ) ( ) ( ) ( ) ( ) ( )tzyxITzyxktzyxITzyxk z tzyx TzyxD z III I I ,,,,,,,,,,,, ,,, ,,, 2 , −+      Φ + Φ ∂ ∂ ∂ ∂ (6) ( ) ( ) ( ) ( ) ( ) +      Φ +      Φ = Φ ΦΦ y tzyx TzyxD yx tzyx TzyxD xt tzyx V V V V V ∂ ∂ ∂ ∂ ∂ ∂ ∂ ∂ ∂ ∂ ,,, ,,, ,,, ,,, ,,, ( ) ( ) ( ) ( ) ( ) ( )tzyxVTzyxktzyxVTzyxk z tzyx TzyxD z VVV V V ,,,,,,,,,,,, ,,, ,,, 2 , −+      Φ + Φ ∂ ∂ ∂ ∂ , ( ) 0 ,,, 0 = ∂ Φ∂ =x x tzyxρ , ( ) 0 ,,, = ∂ Φ∂ = xLx x tzyxρ , ( ) 0 ,,, 0 = ∂ Φ∂ =y y tzyxρ , ( ) 0 ,,, = ∂ Φ∂ = yLy y tzyxρ , ( ) 0 ,,, 0 = ∂ Φ∂ =z z tzyxρ , ( ) 0 ,,, = ∂ Φ∂ = zLz z tzyxρ , ΦI (x,y,z,0)=fΦI (x,y,z), ΦV (x,y,z,0)=fΦV (x,y,z). (7) Here DΦρ(x,y,z,T) are the diffusion coefficients of the above complexes of radiation defects; kI(x,y,z,T) and kV (x,y,z,T) are the parameters of decay of these complexes. We determine spatio-temporal distribution of concentrations of dopant and radiation defects by method of averaging of function corrections [15] with decreasing quantity of iteration steps [16]. Framework the approach we used solutions of Eqs. (1), (4), (6) with averaged values of diffusion coefficients D0L, D0I, D0V, D0ΦI, D0ΦV, zero values of parameters of recombination of radiation de- fects and parameters of generation and decay of their complexes as initial-order approximations of required concentrations. The initial-order approximations could be written as ( ) ( ) ( ) ( ) ( )∑+= ∞ =1 1 21 ,,, n nCnnnnC zyxzyx tezcycxcF LLLLLL tzyxC , ( ) ( ) ( ) ( ) ( )∑+= ∞ =1 1 21 ,,, n nInnnnI zyxzyx tezcycxcF LLLLLL tzyxI , ( ) ( ) ( ) ( ) ( )∑+= ∞ =1 1 21 ,,, n nVnnnnV zyxzyx tezcycxcF LLLLLL tzyxV , ( ) ( ) ( ) ( ) ( )∑+=Φ ∞ = ΦΦ 1 1 21 ,,, n nnnnn zyxzyx I tezcycxcF LLLLLL tzyx II , ( ) ( ) ( ) ( ) ( )∑+=Φ ∞ = ΦΦ 1 1 21 ,,, n nnnnn zyxzyx V tezcycxcF LLLLLL tzyx VV ,
  • 5. International Journal of Applied Control, Electrical and Electronics Engineering (IJACEEE) Vol 3, No.4, November 2015 17 where ( )                 ++−= 2220 22 111 exp zyx n LLL tDnte ρρ π , ( ) ( ) ( ) ( )∫ ∫ ∫= x y zL L L nnnn udvdwdwvufwcvcucF 0 0 0 ,,ρρ , cn(χ)=cos(πnχ/Lχ). We determine approximations of the second-and higher-orders framework standard iteration pro- cedure of method of averaging of function corrections [16,17]. Framework this procedure to de- termine the n-th-order approximation of concentrations of dopant and radiation defects we shall replace the required functions C(x,y,z,t), I(x,y,z,t), V(x,y,z,t), ΦI(x,y,z,t) and ΦV(x,y,z,t) in the right sides of Eqs. (1), (4), (6) on the following sums αnρ+ρ n-1(x,y,z,t), when αnρ are not yet known av- erage values of the n-th-order approximation of the above concentrations. The replacement leads to the following relations for the second-order approximations of the required concentrations ( ) ( ) ( ) ( ) ( ) ( )     ×         ++= ∗∗ x tzyxC V tzyxV V tzyxV TzyxD xt tzyxC L ∂ ∂ ςς ∂ ∂ ∂ ∂ ,,,,,,,,, 1,,, ,,, 1 2 2 21 2 ( )[ ] ( ) ( ) ( ) ( ) ( )    ×         +++           + +× ∗∗ 2 2 21 12 ,,,,,, 1,,, ,,, ,,, 1 V tzyxV V tzyxV TzyxD yTzyxP tzyxC L C ςς ∂ ∂α ξ γ γ ( )[ ] ( ) ( ) ( )[ ] ( )    ×       + ++           + +× TzyxP tzyxC zy tzyxC TzyxP tzyxC CC ,,, ,,, 1 ,,, ,,, ,,, 1 12112 γ γ γ γ α ξ ∂ ∂ ∂ ∂α ξ ( ) ( ) ( ) ( ) ( )             ++× ∗∗ z tzyxC V tzyxV V tzyxV TzyxDL ∂ ∂ ςς ,,,,,,,,, 1,,, 1 2 2 21 (8) ( ) ( ) ( ) ( ) ( ) +      +      = y tzyxI TzyxD yx tzyxI TzyxD xt tzyxI II ∂ ∂ ∂ ∂ ∂ ∂ ∂ ∂ ∂ ∂ ,,, ,,, ,,, ,,, ,,, 112 ( ) ( ) ( ) ( )[ ] ( )[ ]−++−      + tzyxVtzyxITzyxk z tzyxI TzyxD z VIVII ,,,,,,,,, ,,, ,,, 1212, 1 αα ∂ ∂ ∂ ∂ ( ) ( )[ ]2 12, ,,,,,, tzyxITzyxk III +− α (9) ( ) ( ) ( ) ( ) ( ) +      +      = y tzyxV TzyxD yx tzyxV TzyxD xt tzyxV VV ∂ ∂ ∂ ∂ ∂ ∂ ∂ ∂ ∂ ∂ ,,, ,,, ,,, ,,, ,,, 112 ( ) ( ) ( ) ( )[ ] ( )[ ]−++−      + tzyxVtzyxITzyxk z tzyxV TzyxD z VIVIV ,,,,,,,,, ,,, ,,, 1212, 1 αα ∂ ∂ ∂ ∂ ( ) ( )[ ]2 12, ,,,,,, tzyxVTzyxk VVV +− α ( ) ( ) ( ) ( ) ( )++      Φ = Φ Φ tzyxITzyxk x tzyx TzyxD xt tzyx II I I I ,,,,,, ,,, ,,, ,,, 2 , 12 ∂ ∂ ∂ ∂ ∂ ∂ ( ) ( ) ( ) ( ) −      Φ +      Φ + ΦΦ z tzyx TzyxD zy tzyx TzyxD y I I I I ∂ ∂ ∂ ∂ ∂ ∂ ∂ ∂ ,,, ,,, ,,, ,,, 11 ( ) ( )tzyxITzyxkI ,,,,,,− (10)
  • 6. International Journal of Applied Control, Electrical and Electronics Engineering (IJACEEE) Vol 3, No.4, November 2015 18 ( ) ( ) ( ) ( ) ( )++      Φ = Φ Φ tzyxVTzyxk x tzyx TzyxD xt tzyx VV V V V ,,,,,, ,,, ,,, ,,, 2 , 12 ∂ ∂ ∂ ∂ ∂ ∂ ( ) ( ) ( ) ( ) −      Φ +      Φ + ΦΦ z tzyx TzyxD zy tzyx TzyxD y V V V V ∂ ∂ ∂ ∂ ∂ ∂ ∂ ∂ ,,, ,,, ,,, ,,, 11 ( ) ( )tzyxVTzyxkV ,,,,,,− . Integration of left and right sides of Eqs. (8)-(10) on time gives us possibility to obtain relations for the second-order approximations of the required concentrations in the final form ( ) ( ) ( ) ( ) ( ) ( )     ∫ ×         ++= ∗∗ t L x zyxC V zyxV V zyxV TzyxD x tzyxC 0 1 2 2 212 ,,,,,,,,, 1,,,,,, ∂ τ∂τ ς τ ς ∂ ∂ ( )[ ] ( ) ( ) ( ) ( )    ∫ ×         +++           + +× ∗∗ t C V zyxV V zyxV y d TzyxP zyxC 0 2 2 21 12 ,,,,,, 1 ,,, ,,, 1 τ ς τ ς ∂ ∂ τ τα ξ γ γ ( ) ( )[ ] ( ) ( ) ( )    ∫ ×+           + +× t C L z zyxC z d y zyxC TzyxP zyxC TzyxD 0 1112 ,,,,,, ,,, ,,, 1,,, ∂ τ∂ ∂ ∂ τ ∂ τ∂τα ξ γ γ ( ) ( ) ( ) ( ) ( )zyxfd V zyxV V zyxV TzyxD CL ,, ,,,,,, 1,,, 2 2 21 +             ++× ∗∗ τ τ ς τ ς (8a) ( ) ( ) ( ) ( ) ( ) +      ∫+      ∫= t I t I d y zyxI TzyxD y d x zyxI TzyxD x tzyxI 0 1 0 1 2 ,,, ,,, ,,, ,,,,,, τ ∂ τ∂ ∂ ∂ τ ∂ τ∂ ∂ ∂ ( ) ( ) ( ) ( )[ ] −∫ +−      ∫+ t III t I dzyxITzyxkd z zyxI TzyxD z 0 2 12, 0 1 ,,,,,, ,,, ,,, ττατ ∂ τ∂ ∂ ∂ ( ) ( )[ ] ( )[ ] ( )zyxfdzyxVzyxITzyxk I t VIVI ,,,,,,,,,,, 0 1212, +∫ ++− ττατα (9a) ( ) ( ) ( ) ( ) ( ) +      ∫+      ∫= t V t V d y zyxV TzyxD y d x zyxV TzyxD x tzyxV 0 1 0 1 2 ,,, ,,, ,,, ,,,,,, τ ∂ τ∂ ∂ ∂ τ ∂ τ∂ ∂ ∂ ( ) ( ) ( ) ( )[ ] −∫ +−      ∫+ t IVV t V dzyxVTzyxkd z zyxV TzyxD z 0 2 12, 0 1 ,,,,,, ,,, ,,, ττατ ∂ τ∂ ∂ ∂ ( ) ( )[ ] ( )[ ] ( )zyxfdzyxVzyxITzyxk V t VIVI ,,,,,,,,,,, 0 1212, +∫ ++− ττατα ( ) ( ) ( ) ( ) ( ) +∫−      ∫ Φ =Φ Φ t I t I II dzyxITzyxkd x zyx TzyxD x tzyx 00 1 2 ,,,,,, ,,, ,,,,,, τττ ∂ τ∂ ∂ ∂ ( ) ( ) ( ) ( ) +      ∫ Φ +      ∫ Φ + ΦΦ t I I t I I d z zyx TzyxD z d y zyx TzyxD y 0 1 0 1 ,,, ,,, ,,, ,,, τ ∂ τ∂ ∂ ∂ τ ∂ τ∂ ∂ ∂ ( ) ( ) ( )zyxfdzyxITzyxk I t II ,,,,,,,, 0 2 , Φ+∫+ ττ (10a)
  • 7. International Journal of Applied Control, Electrical and Electronics Engineering (IJACEEE) Vol 3, No.4, November 2015 19 ( ) ( ) ( ) ( ) ( ) +∫−      ∫ Φ =Φ Φ t V t V VV dzyxVTzyxkd x zyx TzyxD x tzyx 00 1 2 ,,,,,, ,,, ,,,,,, τττ ∂ τ∂ ∂ ∂ ( ) ( ) ( ) ( ) +      ∫ Φ +      ∫ Φ + ΦΦ t V V t V V d z zyx TzyxD z d y zyx TzyxD y 0 1 0 1 ,,, ,,, ,,, ,,, τ ∂ τ∂ ∂ ∂ τ ∂ τ∂ ∂ ∂ ( ) ( ) ( )zyxfdzyxVTzyxk V t VV ,,,,,,,, 0 2 , Φ+∫+ ττ . We determine average values of the second-orders approximations of the required functions by the standard relation [15,16] ( ) ( )[ ]∫ ∫ ∫ ∫ − Θ = Θ 0 0 0 0 122 ,,,,,, 1 x y zL L L zyx tdxdydzdtzyxtzyx LLL ρρα ρ . (11) Substitution of the relations (8a)-(10a) into the relation (11) gives us possibility to obtain rela- tions for the required average values α2ρ ( )∫ ∫ ∫= x y zL L L C zyx С xdydzdzyxf LLL 0 0 0 2 ,, 1 α , (12) ( ) [{ −+−−+++= 112010200 2 0021001 00 2 41 2 1 IVIIIVVIIIVVIIIV II I AAAAAAA A ααα ( ) 00 0021001 2 1 0 0 0 2 1 ,, 1 II IVVIIIV L L L I zyx A AAA xdydzdzyxf LLL x y z α+++ −         ∫ ∫ ∫− , (13) ( ) 4 313 4 2 3 4 2 4 4 42 1 B AB A ByB yB AB B V + −      − +− + =α . Parameters Aabij and other parameters in the relations (13) are presented in the Appendix. Parame- ters αabij and other parameters in the relations (13) could be written as ( ) ( ) ( ) +∫ ∫ ∫ ∫−Θ Θ −= Θ Φ 0 0 0 0 202 ,,,,,, 1 x y z I L L L I zyx II tdxdydzdtzyxITzyxkt LLL Aα ( )∫ ∫ ∫+ Φ x y zL L L I zyx xdydzdzyxf LLL 0 0 0 ,, 1 (14) ( ) ( ) ( ) +∫ ∫ ∫ ∫−Θ Θ −= Θ Φ 0 0 0 0 202 ,,,,,, 1 x y z V L L L V zyx VV tdxdydzdtzyxVTzyxkt LLL Aα ( )∫ ∫ ∫+ Φ x y zL L L V zyx xdydzdzyxf LLL 0 0 0 ,, 1 . The considered substitution gives us possibility to obtain equation for parameter α 2C. Solution of the equation depends on value of parameter γ. Analysis of spatio- temporal distributions of con- centrations of dopant and radiation defects has been done by using their second-order approxima- tions framework method of averaging of function corrections with decreased quantity of iterative
  • 8. International Journal of Applied Control, Electrical and Electronics Engineering (IJACEEE) Vol 3, No.4, November 2015 20 steps. The second-order approximation is usually a sufficient approximation to obtain qualitative and some quantitative results. Results of analytical modeling have been checked numerically. 3. DISCUSSION By using the calculated in the previous section relations we analyzed dynamic of redistribution of dopant with account redistribution of radiation defects. Figs. 2 show typical distributions of con- centrations of infused and implanted dopants for this case, when dopant diffusion coefficient in the epitaxial layer is larger, than in the substrate. The figures show, that interface between mate- rials gives a possibility to increase sharpness of p-n-junction and at the same time to increase ho- mogeneity of concentration of dopant in doped area. Fig. 2a. Distributions of concentrations of infused dopant in heterostructure from Fig. 1 in direction, which is perpendicular to interface between layers of heterostructure. Increasing of number of curves corresponds to increasing of difference between values of dopant diffusion coefficient in layers of heterostructure. The curves have been calculated under condition, when dopant diffusion coefficient in doped layer is larger, than in nearest layer x 0.0 0.5 1.0 1.5 2.0 C(x,Θ) 2 3 4 1 0 L/4 L/2 3L/4 L Epitaxial layer Substrate Fig. 2b. Spatial distributions of implanted dopant concentration after annealing. Curves 1 and 2 are calcu- lated distributions of dopant concentration in homogenous structure for two values of annealing time. Curves 3 and 4 are calculated distributions of dopant concentration in heterostructure for the same values of annealing time under condition, when dopant diffusion coefficient in doped layer is larger, than in nearest layer
  • 9. International Journal of Applied Control, Electrical and Electronics Engineering (IJACEEE) Vol 3, No.4, November 2015 21 It is known, that increasing of annealing time leads to increasing of diffusion length into nearest materials of heterostructure. Decrease of annealing time does not allow to fully doped section of the epitaxial layer. We determine compromise annealing time framework recently introduced cri- terion [17-22]. Framework the criterion we approximate real distribution of concentration of do- pant by the step-wise function ψ (x,y,z) (see Figs. 3) C(x,Θ) 0 Lx 2 1 3 4 Fig.3a. Spatial distributions of concentration of implanted dopant in heterostructure from Fig. 1. Curve 1 is the idealized distribution of dopant. Curves 2-4 are the real distributions of dopant for different values of annealing time. Increasing of number of curve corresponds to increasing of annealing time x C(x,Θ) 1 2 3 4 0 L Fig.3b. Spatial distributions of concentration of infused dopant in heterostructure from Fig. 1. Curve 1 is the idealized distribution of dopant. Curves 2-4 are the real distributions of dopant for different values of annealing time. Increasing of number of curve corresponds to increasing of annealing time ( ) ( )[ ]∫ ∫ ∫ −Θ= x y zL L L zyx xdydzdzyxzyxC LLL U 0 0 0 ,,,,, 1 ψ . (15) Distributions of concentrations of dopants in Figs. 2 corresponds exactly to compromise annealin time. It should be noted, that presents of interface between layers of heterostructure gives us pos- sibility to manufacture more thin heterotransistor.
  • 10. International Journal of Applied Control, Electrical and Electronics Engineering (IJACEEE) Vol 3, No.4, November 2015 22 4. CONCLUSIONS In this paper we introduce an approach to manufacture double-base heterotransistor. Several rec- ommendations for optimization of diffusion and ion types of doping to decrease dimensions of double-base heterotransistor have been formulated. ACKNOWLEDGEMENTS This work is supported by the agreement of August 27, 2013 № 02.В.49.21.0003 between The Ministry of education and science of the Russian Federation and Lobachevsky State University of Nizhni Novgorod and educational fellowship for scientific research of Government of Russian and of Nizhny Novgorod State University of Architecture and Civil Engineering. REFERENCES [1] A.A. Andronov, N.T. Bagraev, L.E. Klyachkin, A.M. Malyarenko, S.B. Robozerov. Ultrashallow p+- n-junction in silicon (111): electron-beam diagnostics of nearsurface region. Semiconductors. Vol. 33 (1). P. 58-63 (1999). [2] M. Nichterwitz, R. Caballero, C.A. Kaufmann, H.-W. Schock, T. Unold. Generation-dependent charge carrier transport in Cu(In,Ga)Se2/CdS/ZnO thin-film solar-cells. J. Appl. Phys. Vol. 113 (16). P. 044515-044530 (2013). [3] J.Y. Fang, G.Y. Lee, J.I. Chyi, C.P. Hsu, Y.W. Kang, K.C. Fang, W.L. Kao, D.J. Yao, C.H. Hsu, Y.F. Huang, C.C. Chen, S.S. Li, J.A. Yeh, F. Ren, Y.L. Wang. Viscosity-dependent drain current noise of AlGaN/GaN high electron mobility transistor in polar liquids. J. Appl. Phys. Vol. 114 (20). P. 204503-204507 (2013). [4] G. Volovich. Modern chips UM3Ch class D manufactured by firm MPS. Modern Electronics. Issue 2. P. 10-17 (2006). [5] A. Kerentsev, V. Lanin. Constructive-technological features of MOSFET-transistors. Power Electron- ics. Issue 1. P. 34-38 (2008). [6] O.A. Ageev, A.E. Belyaev, N.S. Boltovets, V.N. Ivanov, R.V. Konakova, Ya.Ya. Kudryk, P.M. Lyt- vyn, V.V. Milenin, A.V. Sachenko. Influence of displacement of the electron-hole equilibrium on the process of transition metals diffusion in GaAs. Semiconductors. Vol. 43 (7). P. 897-903 (2009). [7] N.I. Volokobinskaya, I.N. Komarov, T.V. Matioukhina, V.I. Rechetniko, A.A. Rush, I.V. Falina, A.S. Yastrebov. Investigation of technological processes of manufacturing of the bipolar power high- voltage transistors with a grid of inclusions in the collector region. Semiconductors. Vol. 35 (8). P. 1013-1017 (2001). [8] K.K. Ong, K.L. Pey, P.S. Lee, A.T.S. Wee, X.C. Wang, Y.F. Chong. Dopant distribution in the re- crystallization transient at the maximum melt depth induced by laser annealing. Appl. Phys. Lett. 89 (17), 172111-172114 (2006). [9] H.T. Wang, L.S. Tan, E. F. Chor. Pulsed laser annealing of Be-implanted GaN J. Appl. Phys. 98 (9), 094901-094905 (2006). [10] Yu.V. Bykov, A.G. Yeremeev, N.A. Zharova, I.V. Plotnikov, K.I. Rybakov, M.N. Drozdov, Yu.N. Drozdov, V.D. Skupov. Diffusion processes in semiconductor structures during microwave annealing. Radiophysics and Quantum Electronics. Vol. 43 (3). P. 836-843 (2003). [11] V.V. Kozlivsky. Modification of semiconductors by proton beams (Nauka, Sant-Peterburg, 2003, in Russian). [12] V.L. Vinetskiy, G.A. Kholodar', Radiative physics of semiconductors. ("Naukova Dumka", Kiev, 1979, in Russian). [13] Z.Yu. Gotra. Technology of microelectronic devices (Radio and communication, Moscow, 1991). [14] P.M. Fahey, P.B. Griffin, J.D. Plummer. Point defects and dopant diffusion in silicon. Rev. Mod. Phys. 1989. V. 61. № 2. P. 289-388. [15] Yu.D. Sokolov. About the definition of dynamic forces in the mine lifting. Applied Mechanics. Vol.1 (1). P. 23-35 (1955).
  • 11. International Journal of Applied Control, Electrical and Electronics Engineering (IJACEEE) Vol 3, No.4, November 2015 23 [16] E.L. Pankratov. Dynamics of delta-dopant redistribution during heterostructure growth. The European Physical Journal B. 2007. V. 57, №3. P. 251-256. [17] E.L. Pankratov. Dopant Diffusion Dynamics and Optimal Diffusion Time as Influenced by Diffusion- Coefficient Nonuniformity. Russian Microelectronics. 2007. V.36 (1). P. 33-39. [18] E.L. Pankratov. Redistribution of dopant during annealing of radiative defects in a multilayer struc- ture by laser scans for production an implanted-junction rectifiers.Int. J. Nanoscience. Vol. 7 (4-5). P. 187–197 (2008). [19] E.L. Pankratov. Decreasing of depth of implanted-junction rectifier in semiconductor heterostructure by optimized laser annealing. J. Comp. Theor. Nanoscience. Vol. 7 (1). P. 289-295 (2010). [20] E.L. Pankratov, E.A. Bulaeva. Application of native inhomogeneities to increase compactness of ver- tical field-effect transistors. J. Comp. Theor. Nanoscience. Vol. 10 (4). P. 888-893 (2013). [21] E.L. Pankratov, E.A. Bulaeva. An approach to manufacture of bipolar transistors in thin film struc- tures. On the method of optimization. Int. J. Micro-Nano Scale Transp. Vol. 4 (1). P. 17-31 (2014). [22] E.L. Pankratov, E.A. Bulaeva. Increasing of sharpness of diffusion-junction heterorectifier by using radiation processing. Int. J. Nanoscience. Vol. 11 (5). P. 1250028-1250035 (2012). Authors: Pankratov Evgeny Leonidovich was born at 1977. From 1985 to 1995 he was educated in a secondary school in Nizhny Novgorod. From 1995 to 2004 he was educated in Nizhny Novgorod State University: from 1995 to 1999 it was bachelor course in Radiophysics, from 1999 to 2001 it was master course in Ra- diophysics with specialization in Statistical Radiophysics, from 2001 to 2004 it was PhD course in Radio- physics. From 2004 to 2008 E.L. Pankratov was a leading technologist in Institute for Physics of Micro- structures. From 2008 to 2012 E.L. Pankratov was a senior lecture/Associate Professor of Nizhny Novgo- rod State University of Architecture and Civil Engineering. Now E.L. Pankratov is in his Full Doctor course in Radiophysical Department of Nizhny Novgorod State University. He has 110 published papers in area of his researches. Bulaeva Elena Alexeevna was born at 1991. From 1997 to 2007 she was educated in secondary school of village Kochunovo of Nizhny Novgorod region. From 2007 to 2009 she was educated in boarding school “Center for gifted children”. From 2009 she is a student of Nizhny Novgorod State University of Architec- ture and Civil Engineering (spatiality “Assessment and management of real estate”). At the same time she is a student of courses “Translator in the field of professional communication” and “Design (interior art)” in the University. E.A. Bulaeva was a contributor of grant of President of Russia (grant № MK-548.2010.2). She has 74 published papers in area of her researches. APPENDIX ( ) ( ) ( ) ( )∫ ∫ ∫ ∫−Θ Θ = Θ 0 0 0 0 11, ,,,,,,,,, 1 x y zL L L ji ba zyx abij tdxdydzdtzyxVtzyxITzyxkt LLL A , ( )2 0000 2 00 2 00 2 004 2 VVIIIVIVIV AAAAAB −−= , −++= 2 001000 3 0001 2 00003 IVIIIVIVIVIVIV AAAAAAAB ( ) ( ) ( )[ ]−++−+++−− 121224 10100010010000010000 2 00 VVIVIIIIIVIVIVIVVVIIIV AAAAAAAAAAA 2 000100 2 00001010 24 IVIVIVIVIIIVIV AAAAAAA +− , ( ){ ×−+++= 00 2 01 2 00 2 1001 2 002 1 IIIVIVIIIVIV AAAAAAB ( ) ( +++         ∫ ∫ ∫−−× 0100000100 0 0 0 2011 2,, 1 4 IVIVIVIVIV L L L I zyx IIIV AAAAAxdydzdzyxf LLL AA x y z )} ( ) ([{ ++−+++−+ 101000100100000100101000 21224 VVIVIIIIIVIVIVIVIIIVIIIV AAAAAAAAAAAA )] ( ) ( ) ( )     ×−−∫ ∫ ∫+++++ 1120 0 0 0 100101 2 2,, 2 121 IVVV L L L V zyx IIIVIV AAxdydzdzyxf LLL AAA x y z ( )] ( ) ( )[ +++−+++++× 12121 10100010010010010100 VVIVIIIIIVIVIIIVIVII AAAAAAAAAA
  • 12. International Journal of Applied Control, Electrical and Electronics Engineering (IJACEEE) Vol 3, No.4, November 2015 24 ]}00012 IVIV AA+ , ( ) [ −−−++= 2011000100 2 100101001 812 IIIVIIIVIVIIIVIVIV AAAAAAAAAB ( ) ( )×−+++     ∫ ∫ ∫− 00101000010000 0 0 0 4,, 1 IIIVIIIVIVIVIV L L L I zyx AAAAAAAxdydzdzyxf LLL x y z ( ) ( ) ( )     ×−−+++∫ ∫ ∫−× 1120100101 0 0 0 002 01 1,, 2 2 IVVVIIIVIV L L L I zyx II IV AAAAAxdydzdzyxf LLL A A x y z ( )] ( ) ( )[ +++−+++++× 121212 10100010010010010100 VVIVIIIIIVIVIIIVIVII AAAAAAAAAA ]00012 IVIV AA+ , ( ) −         −∫ ∫ ∫+= 11 0 0 0 20 2 01000 ,, 1 4 IV L L L I zyx IIIVII Axdydzdzyxf LLL AAAB x y z ( ) ( ) ( )     +−−+++∫ ∫ ∫− 112000100101 0 0 0 00 21,, 2 IVVVIIIIIVIV L L L V zyx II AAAAAAxdydzdzyxf LLL A x y z ( )] ( )2 1001 2 01 2 100101 11 ++++++ IIIVIVIIIVIV AAAAAA , −+−+= 62 3 32 Bqpqy 3 32 qpq ++− , ( ) ( )      −+−−+= 031 22 1 2 320 3 2 82 6 4 278 1 BBB B BBBB B q , 2 2 3 48 BByA −+= , ( )[ ] 722823 2 2031 BBBBp −−= .