on increasing of density of elements in a multivibrator on bipolar transistors
TRANSCRIPT
International Journal of Computational Science, Information Technology and Control Engineering
(IJCSITCE) Vol.3, No.3, July 2016
DOI : 10.5121/ijcsitce.2016.3302 13
ON INCREASING OF DENSITY OF ELEMENTS IN A
MULTIVIBRATOR ON BIPOLAR TRANSISTORS
E.L. Pankratov1 and E.A. Bulaeva
1,2
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 to increase density of elements of a multivibrator on bipolar tran-
sistors. The considered approach based on manufacturing a heterostructure with necessity configuration,
doping by diffusion or ion implantation of required areas to manufacture the required type of conductivity
(p or n) in the areas and optimization of annealing of dopant and/or radiation defects to manufacture more
compact distributions of concentrations of dopants. We also introduce an analytical approach to progno-
sis technological process.
KEYWORDS
Bipolar transistors, multivibrator, increasing of density of elements of multivibrator
1. INTRODUCTION
In the present time actual questions of solid state electronic devices are increasing of density of
elements of integrated circuits (in this situation it is necessary to decrease dimensions of these
elements), performance and reliability [1-9]. In this paper we consider an approach to manufac-
ture more compact multivibrator based on bipolar heterotransistors. Framework the approach we
consider a heterostructure with two layers, which consist of a substrate and an epitaxial layer (see
Fig. 1). The epitaxial layer includes into itself several sections manufactured by using another
materials (see Fig. 1). These sections have been doped by diffusion or ion implantation to obtain
required type of conductivity (n or p). The doping gives a possibility to manufacture bipolar tran-
sistor framework the considered heterostructure with account the Fig. 1. After that we consider
annealing of dopant and/or radiation defects. The annealing should be optimized to manufacture
more compact distributions of concentrations of dopant. Main aim of the present paper is deter-
mination of conditions, which correspond to increasing of compactness and at the same time to
increasing of homogeneity of distribution of concentration of dopant in enriched area.
2. METHOD OF SOLUTION
We determine spatio-temporal distribution of concentration of dopant by solving the following
boundary problem
( ) ( ) ( ) ( )
∂
∂
∂
∂+
∂
∂
∂
∂+
∂
∂
∂
∂=
∂
∂
z
tzyxCD
zy
tzyxCD
yx
tzyxCD
xt
tzyxC ,,,,,,,,,,,, (1)
with boundary and initial conditions
International Journal of Computational Science, Information Technology and Control Engineering
(IJCSITCE) Vol.3, No.3, July 2016
14
( )0
,,,
0
=∂
∂
=xx
tzyxC,
( )0
,,,=
∂
∂
= xLxx
tzyxC,
( )0
,,,
0
=∂
∂
=yy
tzyxC,
( )0
,,,=
∂
∂
= yLxy
tzyxC,
( )0
,,,
0
=∂
∂
=zz
tzyxC,
( )0
,,,=
∂
∂
= zLxz
tzyxC, C (x,y,z,0)=fC (x,y,z).
Fig. 1a. Structure of a transistor multivibrator. View from top
n p n n p n
Substrate
Epitaxial layer
Fig. 1b. Heterostructure with two layers and sections in the epitaxial layer, which has been used for manu-
facture a transistor multivibrator. View from side
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 de-
pends on properties of materials of heterostructure, speed of heating and cooling of heterostruc-
ture (with account Arrhenius law). Dependences of dopant diffusion coefficient on parameters
could be approximated by the following relation [10-12]
International Journal of Computational Science, Information Technology and Control Engineering
(IJCSITCE) Vol.3, No.3, July 2016
15
( ) ( )( )
( ) ( )( )
++
+=
2*
2
2*1
,,,,,,1
,,,
,,,1,,,
V
tzyxV
V
tzyxV
TzyxP
tzyxCTzyxDD
LCςςξ
γ
γ
, (3)
where DL (x,y,z,T) is the spatial (due to presents several layers in heterostructure) and tempera-
ture (due to Arrhenius law) dependences of dopant diffusion coefficient; P (x, y,z,T) is the limit
of solubility of dopant; parameter γ depends on properties of materials and could be integer in the
following interval γ ∈[1,3] [10]; V (x,y,z,t) is the spatio-temporal distribution of concentration of
radiation vacancies; V* is the equilibrium distribution of concentration of vacancies.
Concentrational dependence of dopant diffusion coefficient has been described in details in [10].
Using diffusion type of doping did not generation radiation defects. In this situation ζ1= ζ2= 0.
We determine the spatio-temporal distributions of concentrations of radiation defects by solving
the following system of equations [11,12]
( ) ( ) ( ) ( ) ( ) ( ) ×−
∂
∂
∂
∂+
∂
∂
∂
∂=
∂
∂Tzyxk
y
tzyxITzyxD
yx
tzyxITzyxD
xt
tzyxIIIII
,,,,,,
,,,,,,
,,,,,,
,
( ) ( ) ( ) ( ) ( ) ( )tzyxVtzyxITzyxkz
tzyxITzyxD
ztzyxI
VII,,,,,,,,,
,,,,,,,,, ,
2 −
∂
∂
∂
∂+× (4)
( )( )
( )( )
( )( ) ×−
∂
∂
∂
∂+
∂
∂
∂
∂=
∂
∂Tzyxk
y
tzyxVTzyxD
yx
tzyxVTzyxD
xt
tzyxVVVVV
,,,,,,
,,,,,,
,,,,,,
,
( ) ( ) ( ) ( ) ( ) ( )tzyxVtzyxITzyxkz
tzyxVTzyxD
ztzyxV
VIV,,,,,,,,,
,,,,,,,,, ,
2 −
∂
∂
∂
∂+×
with boundary and initial conditions
( )0
,,,
0
=∂
∂
=xx
tzyxρ,
( )0
,,,=
∂
∂
= xLxx
tzyxρ,
( )0
,,,
0
=∂
∂
=yy
tzyxρ,
( )0
,,,=
∂
∂
= yLyy
tzyxρ,
( )0
,,,
0
=∂
∂
=zz
tzyxρ,
( )0
,,,=
∂
∂
= zLzz
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 intersti-
tials; 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
recombination of point radiation defects; kI,I(x,y,z,T) and kV,V(x,y,z,T) are the parameters of gener-
ation of simplest complexes of point radiation defects.
We determine the spatio-temporal distributions of concentrations of divacancies ΦV (x,y,z,t) and
dinterstitials ΦI (x,y,z,t) by solving the following system of equations [11,12]
( ) ( ) ( ) ( ) ( )+
Φ+
Φ=
ΦΦΦ
y
tzyxTzyxD
yx
tzyxTzyxD
xt
tzyxI
I
I
I
I
∂
∂
∂
∂
∂
∂
∂
∂
∂
∂ ,,,,,,
,,,,,,
,,,
( ) ( ) ( ) ( ) ( ) ( )tzyxITzyxktzyxITzyxkz
tzyxTzyxD
zIII
I
I,,,,,,,,,,,,
,,,,,, 2
, −+
Φ+ Φ
∂
∂
∂
∂ (6)
International Journal of Computational Science, Information Technology and Control Engineering
(IJCSITCE) Vol.3, No.3, July 2016
16
( ) ( ) ( ) ( ) ( )+
Φ+
Φ=
ΦΦΦ
y
tzyxTzyxD
yx
tzyxTzyxD
xt
tzyxV
V
V
V
V
∂
∂
∂
∂
∂
∂
∂
∂
∂
∂ ,,,,,,
,,,,,,
,,,
( ) ( ) ( ) ( ) ( ) ( )tzyxVTzyxktzyxVTzyxkz
tzyxTzyxD
zVVV
V
V,,,,,,,,,,,,
,,,,,, 2
,−+
Φ+ Φ ∂
∂
∂
∂
with boundary and initial conditions
( )0
,,,
0
=∂
Φ∂
=xx
tzyxρ,
( )0
,,,=
∂
Φ∂
= xLxx
tzyxρ,
( )0
,,,
0
=∂
Φ∂
=yy
tzyxρ,
( )0
,,,=
∂
Φ∂
= yLyy
tzyxρ,
( )0
,,,
0
=∂
Φ∂
=zz
tzyxρ,
( )0
,,,=
∂
Φ∂
= zLzz
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.
To determine spatio-temporal distribution of concentration of dopant we transform the Eq.(1) to
the following integro-differential form
( ) ( ) ( ) ( )( )
×∫ ∫ ∫
++=∫ ∫ ∫
t y
L
z
LL
x
L
y
L
z
Lzyx y zx y z V
wvxV
V
wvxVTwvxDudvdwdtwvuC
LLL
zyx
02*
2
2*1
,,,,,,1,,,,,,
τς
τς
( )( )
( )( )
( )×∫ ∫ ∫+
+×
t x
L
z
LL
zxzy x z y
wyuCTwyuD
LL
zx
LL
zyd
x
wvxC
TwvxP
wvxC
0
,,,,,,
,,,
,,,
,,,1
∂
τ∂τ
∂
τ∂τξ
γ
γ
( ) ( )( )
( )( )
( )∫ ∫ ∫ ×+
+
++×
t x
L
y
LL
yx x y
TzvuDLL
yxd
TzyxP
wyuC
V
wyuV
V
wyuV
02*
2
2*1 ,,,,,,
,,,1
,,,,,,1 τ
τξ
τς
τς
γ
γ
( ) ( )( )
( )( )
( )×+
+
++×
zyxLLL
zyxd
z
zvuC
TzyxP
zvuC
V
zvuV
V
zvuVτ
∂
τ∂τξ
τς
τς
γ
γ ,,,
,,,
,,,1
,,,,,,1
2*
2
2*1
( )∫ ∫ ∫×x
L
y
L
z
Lx y z
udvdwdwvuf ,, . (1a)
We determine solution of the above equation by using Bubnov-Galerkin approach [13]. Frame-
work the approach we determine solution of the Eq.(1a) as the following series
( ) ( ) ( ) ( ) ( )∑==
N
nnCnnnnC
tezcycxcatzyxC0
0 ,,, ,
where ( ) ( )[ ]222
0
22exp −−− ++−=zyxCnC
LLLtDnte π , cn(χ) = cos (π n χ/Lχ). The above series includes
into itself finite number of terms N. The considered series is similar with solution of linear Eq.(1)
(i.e. with ξ = 0) and averaged dopant diffusion coefficient D0. Substitution of the series into
Eq.(1a) leads to the following result
( ) ( ) ( ) ( ) ( ) ( ) ( ) ( )( )∫ ∫ ∫ ×
∑+−=∑
==
t y
L
z
L
N
nnCnnnnC
N
nnCnnn
C
y z TwvxPewcvcxcatezsysxs
n
azyx
0 1132 ,,,
1γ
γ ξτ
π
( ) ( )( )
( ) ( ) ( ) ( ) ( ) −∑
++×
=zy
N
nnCnnnnCL
LL
zydewcvcxsanTwvxD
V
wvxV
V
wvxV
12*
2
2*1 ,,,,,,,,,
1 τττ
ςτ
ς
International Journal of Computational Science, Information Technology and Control Engineering
(IJCSITCE) Vol.3, No.3, July 2016
17
( ) ( )( )
( ) ( ) ( ) ( )∫ ∫ ∫
×
∑+
++−
=
t x
L
z
L
N
mmCmmmmC
zx x z
ewcycucaV
wyuV
V
wyuV
LL
zx
0 12*
2
2*1 1,,,,,,
1γ
ττ
ςτ
ς
( )( ) ( ) ( ) ( ) ( ) ( ) ×∫ ∫ ∫−∑
×=
t x
L
y
LL
yx
N
nnCnnnnCL
x y
TzvuDLL
yxdewcysucanTwyuD
TwyuP 01
,,,,,,,,,
ττξ
γ
( )( ) ( ) ( ) ( ) ( ) ( )
( )×
++
∑+×
=2*
2
2*11
,,,,,,1
,,,1
V
zvuV
V
zvuVezcvcuca
TzvuP
N
nnCnnnnC
τς
τςτ
ξ γ
γ
( ) ( ) ( ) ( ) ( )∫ ∫ ∫+∑×=
x
L
y
L
z
Lzyx
N
nnCnnnnC
x y z
udvdwdwvufLLL
zyxdezsvcucan ,,
1
ττ ,
where sn(χ) = sin (π n χ/Lχ). We determine coefficients an by using orthogonality condition of
terms of the considered series framework scale of heterostructure. The condition gives us possi-
bility to obtain relations for calculation of parameters an for any quantity of terms N. In the
common case the relations could be written as
( ) ( ) ( ) ( ) ( ) ( )( )∫ ∫ ∫ ∫ ×
∑+−=∑−
==
t L L L N
nnCnnnnCL
N
nnC
nCzyxx y z
TzyxPezcycxcaTzyxDte
n
aLLL
0 0 0 0 1165
222
,,,1,,,
γ
γ ξτ
π
( ) ( )( )
( ) ( ) ( ) ( )[ ] ×∑
−+
++×
=
N
nn
y
nnn
nCzyyc
n
Lysyycxs
n
a
V
zyxV
V
zyxVLL
12*
2
2*1212
,,,,,,1
2 π
τς
τς
π
( ) ( ) ( ) ( )[ ] ( ) ( ) ( ) ( ) ×∫ ∫ ∫ ∫
∑−
−+×=
t L L L N
nnCnnnnCn
z
nnCn
x y z
ezcycxcadxdydzdzcn
Lzszezc
0 0 0 0 1
1γ
ττπ
τ
( )( )
( ) ( )( )
( )
++
++
+×*12*
2
2*1
,,,1
,,,,,,1,,,1
,,, V
zyxV
V
zyxV
V
zyxVTzyxD
TzyxPL
τς
τς
τς
ξγ
( )( )
( ) ( )[ ] ( ) ( )[ ] ( ) ( ) ( )∑ ×
−+
−+
+
=
N
nnnnn
z
nn
x
n
znC zcysxczcn
Lzszxc
n
Lxsx
n
La
V
zyxV
122*
2
2211
2
,,,
πππ
τς
( ) ( ) ( ) ( ) ( )( )∫ ∫ ∫ ∫ ×
∑+×−×
=
t L L L N
nnCnnnnC
yx
nC
x y z
TzyxPezcycxca
LLdxdydzde
0 0 0 0 12 ,,,
12 γ
γ ξτ
πττ
( ) ( )( )
( ) ( ) ( ) ( )[ ] ×∑
−+
++×
=
N
nn
x
nn
nC
Lxc
n
Lxsxxc
n
a
V
zyxV
V
zyxVTzyxD
1*12*
2
2 1,,,,,,
1,,,π
τς
τς
( ) ( ) ( ) ( )[ ] ( ) ( ) ( )[ ]∑ ∫ ×
−++
−+×=
N
n
L
n
x
nnCn
y
nnn
x
xcn
Lxsxdxdydzdeyc
n
Lysyzsyc
1 0
11π
ττπ
( ) ( )[ ] ( ) ( )[ ] ( )∫ ∫
−+
−+×y z
L L
n
z
nn
y
nxdydzdzyxfzc
n
Lzszyc
n
Lysy
0 0
,,11ππ
.
As an example for γ = 0 we obtain
( ) ( )[ ] ( ) ( )[ ] ( ) ( )∫ ∫ ∫
×+
−+
−+=x y zL L L
x
nn
y
nn
y
nnCn
Lxsxydzdzyxfzc
n
Lzszyc
n
Lysya
0 0 0
,,11πππ
( )[ ]} ( ) ( ) ( ) ( ) ( ) ( )[ ] ( ){
∫ ∫ ∫ ∫ +
−+−×t L L L
nn
y
nLnnnn
x y z
ysyzcn
LzszTzyxDzcycxs
nxdxc
0 0 0 0
1,,,22
1π
( )[ ] ( ) ( )( ) ( )
( ) ×
+
++
−+ xdydzdzcTzyxPV
zyxV
V
zyxVyc
n
Lnn
y
,,,1
,,,,,,11
2*
2
2*1 γ
ξτς
τς
π
International Journal of Computational Science, Information Technology and Control Engineering
(IJCSITCE) Vol.3, No.3, July 2016
18
( ) ( ) ( ) ( ) ( )[ ] ( ) ( ) ( ) ( )[ ] ×∫ ∫ ∫ ∫
−+
−++×t L L L
n
y
nnnn
y
nnnCnC
x y z
zcn
Lzszzcysxc
n
Lxsxxcede
0 0 0 0
121ππ
τττ
( )( )
( ) ( )( )
+
++
+× τ
τς
τς
ξγ
dxdydzdV
zyxV
V
zyxV
TzyxPTzyxD
L 2*
2
2*1
,,,,,,1
,,,1,,,
( ) ( ) ( ) ( )[ ] ( ) ( ) ( )[ ] ( ) ×∫ ∫ ∫ ∫
−+
−++t L L L
Ln
y
nnn
x
nnnC
x y z
TzyxDycn
Lysyycxc
n
Lxsxxce
0 0 0 0
,,,11ππ
τ
( )( )
( )( )
( )1
65
222
*12*
2
2
,,,,,,1
,,,12
−
−
++
+×
n
LLLdxdydzd
V
zyxV
V
zyxV
TzyxPzs zzz
nπ
ττ
ςτ
ςξ
γ.
For γ = 1 one can obtain the following relation to determine required parameters
( ) ( ) ( ) ( )∫ ∫ ∫+±−=x y zL L L
nnnnn
n
n
nCxdydzdzyxfzcycxca
0 0 0
2 ,,42
αβα
β,
where ( ) ( )( )
( )( ) ( )
( )∫ ∫ ∫ ∫ ×
++=
t L L LL
nn
zy
n
x y z
V
zyxV
V
zyxV
TzyxP
TzyxDycxs
n
LL
0 0 0 02*
2
2*12
,,,,,,1
,,,
,,,2
2
τς
τς
π
ξα
( ) ( ) ( )[ ] ( ) ( )[ ] ( ) ×+
−+
−+×n
LLdexdydzdzc
n
Lzszyc
n
Lysyzc zx
nCn
z
nn
y
nn 2211
π
ξττ
ππ
( ) ( ) ( ) ( )[ ] ( )( )
( )( ) ( )[ ] ×∫ ∫ ∫ ∫
−−
−+×t L L L
n
z
n
L
nn
x
nnnC
x y z
zcn
Lzsz
TzyxP
TzyxDysxc
n
Lxsxxce
0 0 0 0
1,,,
,,,21
ππτ
( ) ( ) ( )( )
( ) ( ) ( ) ×∫ ∫ ∫+
++×
t L L
nnnC
yx
n
x y
ycxcen
LLdxdydzd
V
zyxV
V
zyxVzc
0 0 022*
2
2*12
,,,,,,1 τ
π
ξτ
τς
τς
( )( )
( )( ) ( )
( )( ) ( )[ ] ( ){∫ ×
−+
++×
zL
nn
x
n
L
nysxc
n
Lxsx
V
zyxV
V
zyxV
TzyxP
TzyxDzs
02*
2
2*1 1,,,,,,
1,,,
,,,2
π
τς
τς
( )[ ] τπ
dxdydzdycn
Ly n
y
−+× 1 , ( ) ( ) ( ) ( ) ( ) ×∫ ∫ ∫ ∫=t L L L
LnnnnC
zy
n
x y z
TzyxDzcycxsen
LL
0 0 0 02
,,,22
τπ
β
( ) ( )( )
( ) ( )[ ] ( )[ ] ( ) ×
+−
−+
++× ysyyc
n
Lzdzc
n
Lzsz
V
zyxV
V
zyxVnn
y
n
z
n11
,,,,,,1
2*
2
2*1ππ
τς
τς
( ) ( ) ( ) ( )[ ] ( ) ( ) ( )∫ ∫ ∫ ∫
++
−++×t L L L
nnn
x
nnnC
zxx y z
V
zyxVzcysxc
n
Lxsxxce
n
LLdxdyd
0 0 0 0*12
,,,121
2
τς
πτ
πτ
( )( )
( ) ( ) ( )[ ] ( )∫ ×+
−+
+
t
nC
yx
n
z
nLe
n
LLdxdydzdzc
n
LzszTzyxD
V
zyxV
022*
2
22
1,,,,,,
τπ
τπ
τς
( ) ( )[ ] ( ) ( )[ ] ( ) ( )( )
∫ ∫ ∫ ×
++
−+
−+×x y zL L L
n
y
nn
x
n
V
zyxV
V
zyxVyc
n
Lysyxc
n
Lxsx
0 0 02*
2
2*1
,,,,,,111
τς
τς
ππ
( ) ( ) ( ) ( ) ( ) 65222,,,2 nteLLLdxdxcydyczdTzyxDzs nCzyxnnLn πτ −× .
Analogous way could be used to calculate values of parameters an for larger values of parameter
γ. However the relations will not be present in the paper because the relations are bulky. Advan-
International Journal of Computational Science, Information Technology and Control Engineering
(IJCSITCE) Vol.3, No.3, July 2016
19
tage of the approach is absent of necessity to join dopant concentration on interfaces of hetero-structure.
Equations of the system (4) have been also solved by using Bubnov-Galerkin approach. Pre-viously we transform the differential equations to the following integro- differential form
( ) ( ) ( )×+∫ ∫ ∫
∂
∂=∫ ∫ ∫
zx
t y
L
z
LI
zy
x
L
y
L
z
Lzyx
LL
zxdvdwd
x
wvxITwvxD
LL
zyudvdwdtwvuI
LLL
zyx
y zx y z 0
,,,,,,,,, τ
τ
( ) ( ) ( ) ( )−∫ ∫ ∫
∂
∂+∫ ∫ ∫
∂
∂×
t x
L
y
LI
yx
t x
L
z
LI
x yx z
dudvdz
zvuITzvuD
LL
yxdudwd
x
wyuITwyuD
00
,,,,,,
,,,,,, τ
ττ
τ
( ) ( ) ( ) ( ) ×∫ ∫ ∫−∫ ∫ ∫−x
L
y
L
z
LII
zyx
x
L
y
L
z
LVI
zyx x y zx y z
TwvukLLL
zyxudvdwdtwvuVtwvuITwvuk
LLL
zyx,,,,,,,,,,,, ,,
( ) ( )∫ ∫ ∫+×x
L
y
L
z
LI
zyx x y z
udvdwdwvufLLL
zyxudvdwdtwvuI ,,,,,2 (4a)
( ) ( ) ( )×+∫ ∫ ∫
∂
∂=∫ ∫ ∫
zx
t y
L
z
LV
zy
x
L
y
L
z
Lzyx
LL
zxdvdwd
x
wvxVTwvxD
LL
zyudvdwdtwvuV
LLL
zyx
y zx y z 0
,,,,,,,,, τ
τ
( )( )
( )( )
−∫ ∫ ∫∂
∂+∫ ∫ ∫
∂
∂×
t x
L
y
LV
yx
t x
L
z
LV
x yx z
dudvdz
zvuVTzvuD
LL
yxdudwd
x
wyuVTwyuD
00
,,,,,,
,,,,,, τ
ττ
τ
( ) ( ) ( ) ( ) ×∫ ∫ ∫−∫ ∫ ∫−x
L
y
L
z
LVV
zyx
x
L
y
L
z
LVI
zyx x y zx y z
TwvukLLL
zyxudvdwdtwvuVtwvuITwvuk
LLL
zyx,,,,,,,,,,,, ,,
( ) ( )∫ ∫ ∫+×x
L
y
L
z
LV
zyx x y z
udvdwdwvufLLL
zyxudvdwdtwvuV ,,,,,2 .
Farther we determine solutions of the above equations as the following series
( ) ( ) ( ) ( ) ( )∑==
N
nnnnnn
tezcycxcatzyx1
0 ,,, ρρρ ,
where anρ are not yet known coefficients. Substitution of the series into Eqs.(4a) leads to the fol-
lowing results
( ) ( ) ( ) ( ) ( ) ( ) ( ) ( ) ×∑ ∫ ∫ ∫−=∑==
N
n
t y
L
z
LInnnInI
zyx
N
nnInnn
nI
y z
dvdwdTwvxDzcyceaLLL
zytezsysxs
n
azyx
1 0133
,,, ττπ
π
( ) ( ) ( ) ( ) ( ) ( ) ( ) ×∑−∑ ∫ ∫ ∫−×==
N
nnnI
zyx
N
n
t x
L
z
LInnnInnI
zyx
nzsa
LLL
yxdudwdTwyuDzcxceysa
LLL
zxxs
x z11 0
,,,π
ττπ
( ) ( ) ( ) ( ) ( ) ( ) ( ) ( ) ×∫ ∫ ∫
∑−∫ ∫ ∫×
=
x
L
y
L
z
L
N
nnInnnnI
zyx
t x
L
y
LInnnI
x y zx y
tewcvcucaLLL
zyxdudvdTzvuDycxce
2
10
,,, ττ
( ) ( ) ( ) ( ) ( ) ( ) ( ) ( ) ×∫ ∫ ∫ ∑ ∑−×= =
x
L
y
L
z
L
N
n
N
nnnnnVnInnnnI
zyx
II
x y z
wcvcucatewcvcucaLLL
zyxudvdwdTvvuk
1 1, ,,,
( ) ( ) ( )∫ ∫ ∫+×x
L
y
L
z
LI
zyx
VInV
x y z
udvdwdwvufLLL
zyxudvdwdTvvukte ,,,,,
,
( ) ( ) ( ) ( ) ( ) ( ) ( ) ( ) ×∑ ∫ ∫ ∫−=∑==
N
n
t y
L
z
LVnnnVnV
zyx
N
nnVnnn
nV
y z
dvdwdTwvxDzcyceaLLL
zytezsysxs
n
azyx
1 0133
,,, ττπ
π
International Journal of Computational Science, Information Technology and Control Engineering
(IJCSITCE) Vol.3, No.3, July 2016
20
( ) ( ) ( ) ( ) ( ) ( ) ( ) ×∑−∑ ∫ ∫ ∫−×==
N
nnnV
zyx
N
n
t x
L
z
LVnnnVnnV
zyx
nzsa
LLL
yxdudwdTwyuDzcxceysa
LLL
zxxs
x z11 0
,,,π
ττπ
( ) ( ) ( ) ( ) ( ) ( ) ( ) ( ) ×∫ ∫ ∫
∑−∫ ∫ ∫×
=
x
L
y
L
z
L
N
nnVnnnnV
zyx
t x
L
y
LVnnnV
x y zx y
tewcvcucaLLL
zyxdudvdTzvuDycxce
2
10
,,, ττ
( ) ( ) ( ) ( ) ( ) ( ) ( ) ( ) ×∫ ∫ ∫ ∑ ∑−×= =
x
L
y
L
z
L
N
n
N
nnnnnVnInnnnI
zyx
VV
x y z
wcvcucatewcvcucaLLL
zyxudvdwdTvvuk
1 1,
,,,
( ) ( ) ( )∫ ∫ ∫+×x
L
y
L
z
LV
zyx
VInV
x y z
udvdwdwvufLLL
zyxudvdwdTvvukte ,,,,,, .
We determine coefficients anρ by using orthogonality condition on the scale of heterostructure.
The condition gives us possibility to obtain relations to calculate anρ for any quantity N of terms of considered series. In the common case equations for the required coefficients could be written
as
( ) ( ) ( )[ ] ( ) ( )[ ] ×∑ ∫ ∫ ∫
−++−−=∑−==
N
n
t L L
n
y
nynnI
nI
x
N
nnI
nIzyxx y
ycn
LysyLxce
n
a
Lte
n
aLLL
1 0 0 02
165
222
122
2212
1
πτ
ππ
( ) ( ) ( )[ ] ( )[ ]∑ ∫ ∫
++−−∫
−+×=
N
n
t L
xn
xnI
y
L
n
z
nI
xz
Lxcn
L
n
a
Ldxdydzdzc
n
LzszTzyxD
1 0 02
0
122
11
2,,,
ππτ
π
( )} ( ) ( ) ( )[ ] ( )[ ] ( ) −∫ ∫ −
−+++y z
L L
nInn
z
nzIndexdydyczdzc
n
LzszLTzyxDxsx
0 0
21122
2,,,2 ττπ
( ) ( ) ( )[ ] ( ) ( )[ ] ×∑ ∫ ∫ ∫
−++
−++−=
N
n
t L L
n
y
nyn
x
nxnI
nI
z
x y
ycn
LysyLxc
n
LxsxLe
n
a
L 1 0 0 02
122
2122
22
1
ππτ
π
( )[ ] ( ) ( ) ( )[ ] ( ) ×∑ ∫
+−+−∫ −×=
N
n
L
nn
x
xnInI
L
In
xz
xsxxcn
LLteadxdydzdTzyxDzc
1 0
2
0
2122
2,,,21π
τ
( ) ( )[ ] ( ) ( )[ ] ( ) −∫ ∫
+−+
−++×y z
L L
nn
z
zIIn
y
nyxdydzdzszzc
n
LLTzyxkyc
n
LysyL
0 0,
2122
,,,122
2ππ
( ) ( ) ( ) ( )[ ] ( ) ( )[ ] ×∑ ∫ ∫
−++
−++−=
N
n
L L
n
y
nyn
x
nxnVnInVnI
x y
ycn
LysyLxc
n
LxsxLteteaa
1 0 0
122
2122
2ππ
( ) ( ) ( )[ ] ( ) ( )[ ] ×∑ ∫
−++∫
−++×=
N
n
L
n
x
n
L
n
z
nzVI
xz
xcn
Lxsxxdydzdzc
n
LzszLTzyxk
1 00, 112
22,,,
ππ
( ) ( )[ ] ( ) ( ) ( )[ ]∫ ∫
−++
−+×y z
L L
n
z
nzIn
y
nxdydzdzc
n
LzszLTzyxfyc
n
Lysy
0 0
122
2,,,1ππ
( ) ( ) ( )[ ] ( ) ( )[ ] ×∑ ∫ ∫ ∫
−++−−=∑−==
N
n
t L L
n
y
nynnV
nV
x
N
nnV
nVzyxx y
ycn
LysyLxce
n
a
Lte
n
aLLL
1 0 0 02
165
222
122
2212
1
πτ
ππ
( ) ( ) ( )[ ] ( )[ ]∑ ∫ ∫
++−−∫
−+×=
N
n
t L
xn
xnV
y
L
n
z
nV
xz
Lxcn
L
n
a
Ldxdydzdzc
n
LzszTzyxD
1 0 02
0
122
11
2,,,
ππτ
π
( )} ( ) ( ) ( )[ ] ( )[ ] ( ) −∫ ∫ −
−+++y z
L L
nVnn
z
nzVndexdydyczdzc
n
LzszLTzyxDxsx
0 0
21122
2,,,2 ττπ
( ) ( ) ( )[ ] ( ) ( )[ ] ×∑ ∫ ∫ ∫
−++
−++−=
N
n
t L L
n
y
nyn
x
nxnV
nV
z
x y
ycn
LysyLxc
n
LxsxLe
n
a
L 1 0 0 02
122
2122
22
1
ππτ
π
International Journal of Computational Science, Information Technology and Control Engineering
(IJCSITCE) Vol.3, No.3, July 2016
21
( )[ ] ( ) ( ) ( )[ ] ( ) ×∑ ∫
+−+−∫ −×=
N
n
L
nn
x
xnVnV
L
Vn
xz
xsxxcn
LLteadxdydzdTzyxDzc
1 0
2
0
2122
2,,,21π
τ
( ) ( )[ ] ( ) ( )[ ] ( ) −∫ ∫
+−+
−++×y z
L L
nn
z
zVVn
y
nyxdydzdzszzc
n
LLTzyxkyc
n
LysyL
0 0,
2122
,,,122
2ππ
( ) ( ) ( ) ( )[ ] ( ) ( )[ ] ×∑ ∫ ∫
−++
−++−=
N
n
L L
n
y
nyn
x
nxnVnInVnI
x y
ycn
LysyLxc
n
LxsxLteteaa
1 0 0
122
2122
2ππ
( ) ( ) ( )[ ] ( ) ( )[ ] ×∑ ∫
−++∫
−++×=
N
n
L
n
x
n
L
n
z
nzVI
xz
xcn
Lxsxxdydzdzc
n
LzszLTzyxk
1 00,
1122
2,,,ππ
( ) ( )[ ] ( ) ( ) ( )[ ]∫ ∫
−++
−+×y z
L L
n
z
nzVn
y
nxdydzdzc
n
LzszLTzyxfyc
n
Lysy
0 0
122
2,,,1ππ
.
In the final form relations for required parameters could be written as
( )
−+−
+±
+−=
A
ybyb
Ab
b
Aba nInV
nI
2
3
4
2
3
4
3 444
λγ,
nInI
nInInInInI
nVa
aaa
χ
λδγ ++−=
2
,
where ( ) ( ) ( ) ( )[ ] ( )∫ ∫ ∫
×++
−++=x y zL L L
y
ynn
x
nxnnn
LLysyxc
n
LxsxLTzyxkte
0 0 0,
2212
22,,,2
ππγ ρρρρ
( )[ ]} ( ) ( )[ ] xdydzdzcn
LzszLyc
n
z
nzn
−++−× 122
212π
, ( ) ( ){∫ ∫ ∫ +=t L L
nn
x
n
x y
ysyenL 0 0 0
22
1τ
πδ ρρ
( )[ ] ( ) ( )[ ] ( ) ( )[ ] ×+∫ −
−+
−+y
L
nn
z
nn
y
LdxdxcydzdTzyxDzc
n
Lzszyc
n
L z
πτ
ππρ
2
121,,,1
21
2 0
( ) ( ) ( )[ ] ( )[ ] ( ) ( )[ ]∫ ∫ ∫ ∫
+−−
−++×t L L L
n
z
nn
x
nxn
x y z
zcn
LTzyxDycxc
n
LxsxLe
n 0 0 0 02
122
,,,211222
1
ππτ ρρ
( ) } ( ) ( ) ( )[ ] ( ){∫ ∫ ∫ +
−+++++t L L
nn
x
xnn
z
zn
x y
ysyxcn
LLxsxe
nLdxdydzdLzsz
0 0 02
1222
12
πτ
πτ ρ
( )[ ] ( )[ ] ( ) ( )ten
LLLdxdydzdTzyxDzcyc
n
LL
n
zyxL
nn
y
y
z
ρρπ
τπ 65
222
0
,,,2112
−∫ −
−++ , ( ) ×= tenInIV
χ
( ) ( ) ( )[ ] ( )[ ] ( ) ( ) ( ){∫ ∫ ∫ ++
+−+
−+×x y zL L L
nzVInn
y
yn
x
nnV zszLTzyxkysyycn
LLxc
n
Lxsxte
0 0 0, 2,,,212
21
ππ
( )[ ] xdydzdzcn
Ln
z
−+ 122π
, ( ) ( )[ ] ( ) ( )[ ] {∫ ∫ ∫ ×
−+
−+=x y zL L L
n
y
nn
x
nnzyc
n
Lysyxc
n
Lxsx
0 0 0
11ππ
λ ρ
( ) ( )[ ] ( ) xdydzdTzyxfzcn
Lzs
n
z
n,,,1 ρ
π
−+× , 22
4 nInInInVb χγγγ −= , −−= 2
32
nInInInInVb χδδγγ
nInInVγχδ− , ( ) 22
2 2 nInInVnInInVnInVnInInVb χλλδχδγγλδγ −+−+= , nInInVnInVnI
b λχδδγλ −= 21,
2
2
348 bbyA −+= ,
2
4
2
342
9
3
b
bbbp
−= ,
3
4
2
4132
3
3
54
2792
b
bbbbbq
+−= , −++−−+= 3 323 32 qpqqpqy
43 3bb− .
International Journal of Computational Science, Information Technology and Control Engineering
(IJCSITCE) Vol.3, No.3, July 2016
22
We determine spatio-temporal distributions of concentrations of complexes of radiation defects
in the following form
( ) ( ) ( ) ( ) ( )∑=Φ=
Φ
N
nnnnnn
tezcycxcatzyx1
0 ,,, ρρρ ,
where anΦρ are not yet known coefficients. Let us previously transform the Eqs.(6) to the follow-
ing integro-differential form
( ) ( )( )
+∫ ∫ ∫Φ
=∫ ∫ ∫Φ Φ
t y
L
z
L
I
I
zy
x
L
y
L
z
LI
zyx y zx y z
dvdwdx
wvxTwvxD
LL
zyudvdwdtwvu
LLL
zyx
0
,,,,,,,,, τ
∂
τ∂
( )( )
( )( )
∫ ∫ ∫ ×Φ
+∫ ∫ ∫Φ
+ ΦΦ
t x
L
y
L
I
I
t x
L
z
L
I
I
zx x yx z
dudvdz
zvuTzvuDdudwd
y
wyuTwyuD
LL
zx
00
,,,,,,
,,,,,, τ
∂
τ∂τ
∂
τ∂
( ) ( ) ( ) ×∫ ∫ ∫−∫ ∫ ∫+×x
L
y
L
z
LI
zyx
x
L
y
L
z
LII
zyxyx x y zx y z
TwvukLLL
zyxudvdwdwvuITwvuk
LLL
zyx
LL
yx,,,,,,,,, 2
,τ
( ) ( )∫ ∫ ∫+× Φ
x
L
y
L
z
LI
zyx x y z
udvdwdwvufLLL
zyxudvdwdwvuI ,,,,, τ (6a)
( ) ( )( )
+∫ ∫ ∫Φ
=∫ ∫ ∫Φ Φ
t y
L
z
L
V
V
zy
x
L
y
L
z
LV
zyx y zx y z
dvdwdx
wvxTwvxD
LL
zyudvdwdtwvu
LLL
zyx
0
,,,,,,,,, τ
∂
τ∂
( )( )
( )( )
∫ ∫ ∫ ×Φ
+∫ ∫ ∫Φ
+ ΦΦ
t x
L
y
L
V
V
t x
L
z
L
V
V
zx x yx z
dudvdz
zvuTzvuDdudwd
y
wyuTwyuD
LL
zx
00
,,,,,,
,,,,,, τ
∂
τ∂τ
∂
τ∂
( ) ( ) ( ) ×∫ ∫ ∫−∫ ∫ ∫+×x
L
y
L
z
LV
zyx
x
L
y
L
z
LVV
zyxyx x y zx y z
TwvukLLL
zyxudvdwdwvuVTwvuk
LLL
zyx
LL
yx,,,,,,,,, 2
,τ
( ) ( )∫ ∫ ∫+× Φ
x
L
y
L
z
LV
zyx x y z
udvdwdwvufLLL
zyxudvdwdwvuV ,,,,, τ .
Substitution of the previously considered series in the Eqs.(6a) leads to the following form
( ) ( ) ( ) ( ) ( ) ( ) ( ) ( ) ×∑ ∫ ∫ ∫−=∑−=
ΦΦ=
ΦN
n
t y
L
z
LInnInIn
zyx
N
nnInnn
In
y z
TwvxDvctexsanLLL
zytezsysxs
n
azyx
1 0133
,,,π
π
( ) ( ) ( ) ( ) ( ) ( ) −∑ ∫ ∫ ∫−×=
ΦΦΦ
N
n
t x
L
z
LInnInnIn
zyx
n
x z
dudwdTwvuDwcucteysnaLLL
zxdvdwdwc
1 0
,,, τπ
τ
( ) ( ) ( ) ( ) ( ) ( ) ×∫ ∫ ∫+∑ ∫ ∫ ∫−=
ΦΦΦ
x
L
y
L
z
LII
N
n
t x
L
y
LInnInnIn
zyx x y zx y
TwvukdudvdTzvuDvcuctezsanLLL
yx,,,,,,
,1 0
τπ
( ) ( ) ( ) ×+∫ ∫ ∫−×zyx
x
L
y
L
z
LI
zyxzyxLLL
zyxudvdwdwvuITwvuk
LLL
zyx
LLL
zyxudvdwdwvuI
x y z
ττ ,,,,,,,,,2
( )∫ ∫ ∫× Φ
x
L
y
L
z
LI
x y z
udvdwdwvuf ,,
( ) ( ) ( ) ( ) ( ) ( ) ( ) ( ) ×∑ ∫ ∫ ∫−=∑−=
ΦΦ=
ΦN
n
t y
L
z
LVnnVnVn
zyx
N
nnVnnn
Vn
y z
TwvxDvctexsanLLL
zytezsysxs
n
azyx
1 0133
,,,π
π
( ) ( ) ( ) ( ) ( ) ( ) −∑ ∫ ∫ ∫−×=
ΦΦΦ
N
n
t x
L
z
LVnnVnnVn
zyx
n
x z
dudwdTwvuDwcucteysnaLLL
zxdvdwdwc
1 0
,,, τπ
τ
International Journal of Computational Science, Information Technology and Control Engineering
(IJCSITCE) Vol.3, No.3, July 2016
23
( ) ( ) ( ) ( ) ( ) ( ) ×∫ ∫ ∫+∑ ∫ ∫ ∫−=
ΦΦΦ
x
L
y
L
z
LVV
N
n
t x
L
y
LVnnVnnVn
zyx x y zx y
TwvukdudvdTzvuDvcuctezsanLLL
yx,,,,,, ,
1 0
τπ
( ) ( ) ( ) ×+∫ ∫ ∫−×zyx
x
L
y
L
z
LV
zyxzyxLLL
zyxudvdwdwvuVTwvuk
LLL
zyx
LLL
zyxudvdwdwvuV
x y z
ττ ,,,,,,,,,2
( )∫ ∫ ∫× Φ
x
L
y
L
z
LV
x y z
udvdwdwvuf ,, .
We determine coefficients anΦρ by using orthogonality condition on the scale of heterostructure.
The condition gives us possibility to obtain relations to calculate anΦρ for any quantity N of terms
of considered series. In the common case equations for the required coefficients could be written
as
( ) ( )[ ] ( ) ( )[ ] ×∑ ∫ ∫ ∫
−++−−=∑−=
Φ
=Φ
ΦN
n
t L L
n
y
nyn
In
x
N
nIn
Inzyxx y
ycn
LysyLxc
n
a
Lte
n
aLLL
1 0 0 02
165
222
122
2212
1
πππ
( ) ( ) ( )[ ] ( ) ( ){∑ ∫ ∫ ++−∫
−+×=
Φ
ΦΦ
N
n
t L
xn
y
InL
Inn
z
nI
xz
LxsxLn
adexdydzdzc
n
LzszTzyxD
1 0 02
0
22
11
2,,,
πττ
π
( ) ( )[ ] ( ) ( ) ( )[ ] ( ) ×−∫ ∫
−+−−
+ ΦΦ
x
L L
Inn
z
nIn
n
xL
dexdydzdzcn
LzszTzyxDyc
n
xcL
y z
πττ
ππ
11
2,,,21
2
12
0 0
( ) ( ) ( )[ ] ( ) ( )[ ] ( ) ×∑ ∫ ∫ ∫ ∫
+−+
−+×=
ΦΦΦ
N
n
t L L L
Iyn
y
nn
x
nIn
Inx y z
TzyxDLycn
Lysyxc
n
Lxsxe
n
a
1 0 0 0 02
,,,122
2122 ππ
τ
( )[ ] ( ) ( )[ ] ( ) ( ) ( )[ ] ×∑∫ ∫ ∫
−+
+−+−×=
Φ
N
n
t L L
n
y
nnn
x
Inn
x y
ycn
Lysyxsxxc
n
Ledxdydzdyc
10 0 0
12
12
21ππ
ττ
( ) ( ) ( )[ ] ( ) ( ) ( ){∑ ∫ ∫ +−∫
+−×=
ΦΦ
N
n
t L
nIn
L
nn
z
II
Inxz
xsxexdydzdzszzcn
LTzyxktzyxI
n
a
10 00,
2
331
2,,,,,, τ
ππ
( )[ ] ( )[ ] ( ) ( ) ( ) ( )[ ]∫ ∫
+−
+−
−+ Φy z
L L
n
z
Inn
yIn
n
x zcn
LtzyxITzyxkysyyc
n
L
n
axc
n
L
0 033
12
,,,,,,12
12 ππππ
( )} ( ) ( ) ( )[ ] ( ) ( )[ ] ×∑ ∫ ∫ ∫
−+
−+++=
Φ
ΦN
n
t L L
n
y
nn
x
nIn
In
n
x y
ycn
Lysyxc
n
Lxsxe
n
axdydzdzsz
1 0 0 033
12
12 ππ
τπ
( )[ ] ( ) ( )∫
+−× Φ
zL
Inn
z xdydzdzyxfzszzcn
L
0
,,12π
( ) ( )[ ] ( ) ( )[ ] ×∑ ∫ ∫ ∫
−++−−=∑−=
Φ
=Φ
ΦN
n
t L L
n
y
nyn
Vn
x
N
nVn
Vnzyxx y
ycn
LysyLxc
n
a
Lte
n
aLLL
1 0 0 02
165
222
122
2212
1
πππ
( ) ( ) ( )[ ] ( ) ( ){∑ ∫ ∫ ++−∫
−+×=
Φ
ΦΦ
N
n
t L
xn
y
VnL
Vnn
z
nV
xz
LxsxLn
adexdydzdzc
n
LzszTzyxD
1 0 02
0
22
11
2,,,
πττ
π
( )( )[ ] ( ) ( ) ( )[ ] ( ) ×−∫ ∫
−+−−
+ ΦΦ
x
L L
Vnn
z
nVn
n
xL
dexdydzdzcn
LzszTzyxDyc
n
xcL
y z
πττ
ππ
11
2,,,21
2
12
0 0
( ) ( ) ( )[ ] ( ) ( )[ ] ( ) ×∑ ∫ ∫ ∫ ∫
+−+
−+×=
ΦΦ
ΦN
n
t L L L
Vyn
y
nn
x
nVn
Vnx y z
TzyxDLycn
Lysyxc
n
Lxsxe
n
a
1 0 0 0 02
,,,122
2122 ππ
τ
International Journal of Computational Science, Information Technology and Control Engineering
(IJCSITCE) Vol.3, No.3, July 2016
24
( )[ ] ( ) ( )[ ] ( ) ( ) ( )[ ] ×∑∫ ∫ ∫
−+
+−+−×=
Φ
N
n
t L L
n
y
nnn
x
Vnn
x y
ycn
Lysyxsxxc
n
Ledxdydzdyc
1 0 0 0
12
12
21ππ
ττ
( ) ( ) ( )[ ] ( ) ( ) ( ){∑ ∫ ∫ +−∫
+−×=
ΦΦ
N
n
t L
nVn
L
nn
z
VV
Vnxz
xsxexdydzdzszzcn
LTzyxktzyxV
n
a
10 00,
2
331
2,,,,,, τ
ππ
( )[ ] ( )[ ] ( ) ( ) ( ) ( )[ ]∫ ∫
+−
+−
−+ Φy z
L L
n
z
Vnn
yVn
n
x zcn
LtzyxVTzyxkysyyc
n
L
n
axc
n
L
0 033
12
,,,,,,12
12 ππππ
( )} ( ) ( ) ( )[ ] ( ) ( )[ ] ×∑ ∫ ∫ ∫
−+
−+++=
Φ
ΦN
n
t L L
n
y
nn
x
nVn
Vn
n
x y
ycn
Lysyxc
n
Lxsxe
n
axdydzdzsz
1 0 0 033
12
12 ππ
τπ
( )[ ] ( ) ( )∫
+−× Φ
zL
Vnn
z xdydzdzyxfzszzcn
L
0
,,12π
.
3. DISCUSSION
In this section we analyzed distribution of concentration of dopant, infused (see Fig. 2a) or im-
planted (see Fig. 2b) into epitaxial layer. Annealing time is the same for all curves of these fig-
ures. Increasing of number of curves corresponds to increasing of difference between values of
dopant diffusion coefficients in layers of hetero structure. The figures show, that presents of in-
terface between layers of hetero structure gives a possibility to increase absolute value of gra-
dient of concentration of dopant in direction, which is perpendicular to the considered interface.
A consequence of this result is decreasing of the dimensions of transistors included in the multi-
vibrator. At the same time with increasing of the considered gradient homogeneity of concentra-
tion of dopant in enriched area.
Fig.2a. Distributions of concentration of infused dopant in heterostructure from Figs. 1 in direction, which
is perpendicular to interface between epitaxial layer substrate. Increasing of number of curve corresponds
to increasing of difference between values of dopant diffusion coefficient in layers of heterostructure under
condition, when value of dopant diffusion coefficient in epitaxial layer is larger, than value of dopant dif-
fusion coefficient in substrate
To estimate annealing time it is necessary to estimate decreasing of absolute value of gradient of
concentration of dopant near interface between substrate and epitaxial layer with increasing of
annealing time. Decreasing of annealing time leads to manufacturing more inhomogenous distri-
bution of concentration of dopant (see Fig. 3a for diffusion type of doping and Fig. 3b for ion
type of doping). We determine compromise value of annealing time framework recently intro-
duced criterion [14-20]. Frame-work the criterion we approximate real distribution of concentra-
tion of dopant by idealized step-wise function ψ (x,y,z). Further we determine the required an-
nealing time by minimization of mean-square error
International Journal of Computational Science, Information Technology and Control Engineering
(IJCSITCE) Vol.3, No.3, July 2016
25
( ) ( )[ ]∫ ∫ ∫ −Θ=x y zL L L
zyx
xdydzdzyxzyxCLLL
U0 0 0
,,,,,1
ψ . (8)
Dependences of optimal annealing time are shown on Figs. 4. It should be noted, that radiation
defects, generated during ion implantation, should be annealed. In the ideal case after the anneal-
ing the implanted dopant should achieve the interface between layers of heterostructure. If the
dopant has no enough time to achieve the interface, it is attracted an interest to make additional
annealing. The Fig. 4b shows dependences of additional annealing time. Necessity of annealing
of radiation defects leads to smaller value of optimal annealing time of dopant in comparison
with optimal annealing time of dopant during diffusion type of doping. Diffusion type of doping
did not leads to radiation damage of materials. Ion type of doping gives us possibility to decrease
mismatch-induced stress in heterostructure [20].
Fig.2b. Distributions of concentration of implanted dopant in heterostructure from Figs. 1 in direction,
which is perpendicular to interface between epitaxial layer substrate. Curves 1 and 3 corresponds to an-
nealing time Θ = 0.0048(Lx2+Ly
2+Lz
2)/D0. Curves 2 and 4 corresponds to annealing time Θ = 0.0057(Lx
2+
Ly2+Lz
2)/D0. Curves 1 and 2 corresponds to homogenous sample. Curves 3 and 4 corresponds to hetero-
structure under condition, when value of dopant diffusion coefficient in epitaxial layer is larger, than value
of dopant diffusion coefficient in substrate
Fig. 3a. Spatial distributions of dopant in heterostructure after dopant infusion. Curve 1 is idealized distri-
bution of dopant. Curves 2-4 are real distributions of dopant for different values of annealing time. In-
creasing of number of curve corresponds to increasing of annealing time
x
C(x
,Θ)
1
23
4
0 L
x
0.0
0.5
1.0
1.5
2.0
C(x
,Θ)
23
4
1
0 L/4 L/2 3L/4 L
Epitaxial layer Substrate
C(x
,Θ)
0 Lx
2
13
4
International Journal of Computational Science, Information Technology and Control Engineering
(IJCSITCE) Vol.3, No.3, July 2016
26
Fig.3b. Spatial distributions of dopant in heterostructure after ion implantation. Curve 1 is idealized distri-
bution of dopant. Curves 2-4 are real distributions of dopant for different values of annealing time. In-
creasing of number of curve corresponds to increasing of annealing time
Fig.4a. Optimal annealing time of infused dopant as dependences of several parameters. Curve 1 is the
dependence of the considered annealing time on dimensionless thickness of epitaxial layer a/L and ξ = γ =
0 for equal to each other values of dopant diffusion coefficient in all parts of heterostructure. Curve 2 is the
dependence of the considered annealing time on the parameter ε for a/L=1/2 and ξ = γ = 0. Curve 3 is the
dependence of the considered annealing time on the parameter ξ for a/L=1/2 and ε = γ = 0. Curve 4 is the
dependence of the considered annealing time on parameter γ for a/L=1/2 and ε = ξ = 0
Fig.4b. Optimal annealing time of implanted dopant as dependences of several parameters. Curve 1 is the
dependence of the considered annealing time on dimensionless thickness of epitaxial layer a/L and ξ = γ = 0
for equal to each other values of dopant diffusion coefficient in all parts of heterostructure. Curve 2 is the
dependence of the considered annealing time on the parameter ε for a/L=1/2 and ξ = γ = 0. Curve 3 is the
dependence of the considered annealing time on the parameter ξ for a/L=1/2 and ε = γ = 0. Curve 4 is the
dependence of the considered annealing time on parameter γ for a/L=1/2 and ε = ξ = 0
4. CONCLUSIONS
0.0 0.1 0.2 0.3 0.4 0.5
a/L, ξ, ε, γ
0.0
0.1
0.2
0.3
0.4
0.5
Θ D
0 L
-2
3
2
4
1
0.0 0.1 0.2 0.3 0.4 0.5a/L, ξ, ε, γ
0.00
0.04
0.08
0.12
Θ D
0 L
-2
3
2
4
1
International Journal of Computational Science, Information Technology and Control Engineering
(IJCSITCE) Vol.3, No.3, July 2016
27
In this paper prognosis of time varying of spatial distributions of concentrations of infused and
implanted dopants during manufacturing a transistor multivibrator has been done. Several rec-
ommendations to optimize manufacture the heterotransistors have been formulated. Analytical
approach to prognosis diffusion and ion types of doping has been introduced. The approach gives
a possibility to take into account variation in space and time parameters of doped material and at
the same time nonlinearity of mass and heat transport.
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, educational fellowship for scientific research of Government of Russian,
educational fellowship for scientific research of Government of Nizhny Novgorod region of Rus-
sia and educational fellowship for scientific research of Nizhny Novgorod State University of
Architecture and Civil Engineering.
REFERENCES
[1] Z. Ramezani, A.A. Orouji. A silicon-on-insulator metal semiconductor field-effect transistor with
an L-shaped buried oxide for high output-power density. Mat. Sci. Sem. Proc. Vol. 19. P. 124-129
(2014).
[2] Ch. Dong, J. Shi, J. Wu, Y. Chen, D. Zhou, Z. Hu, H. Xie, R. Zhan, Zh. Zou. Improvements in
passivation effect of amorphous InGaZnO thin film transistors. Mat. Sci. Sem. Proc. Vol. 20. P. 7-
11 (2014).
[3] D. Fathi, B. Forouzandeh. Accurate analysis of global interconnects in nano-fpgas. Nano. Vol. 4
(3). P. 171-176 (2009).
[4] D. Fathi, B. Forouzandeh, N. Masoumi. New enhanced noise analysis in active mixers in nanoscale
technologies. Nano. Vol. 4 (4). P. 233-238 (2009).
[5] A.O. Ageev, A.E. Belyaev, N.S. Boltovets, V.N. Ivanov, R.V. Konakova, Ya.Ya. Kudrik, P.M.
Litvin, V.V. Milenin, A.V. Sachenko. Au-TiBx-n-6H-SiC Schottky barrier diodes: Specific fea-
tures of charge transport in rectifying and nonrectifying contacts. Semiconductors. Vol. 43 (7). P.
897-903 (2009).
[6] A.G. Alexenko, I.I. Shagurin. Microcircuitry (Radio and communication, Moscow, 1990).
[7] N.A. Avaev, Yu.E. Naumov, V.T. Frolkin. Basis of microelectronics (Radio and communication,
Moscow, 1991).
[8] V.I. Lachin, N.S. Savelov. Electronics (Phoenix, Rostov-na-Donu, 2001).
[9] R. Pal, R. Pandey, N. Pandey, R.Ch. Tiwari. Single CDBA Based Voltage Mode Bistable Multivi-
brator and Its Applications. Circuits and Systems. Vol. 6 (11). P. 237-251 (2015).
[10] Z.Yu. Gotra. Technology of microelectronic devices (Radio and communication, Moscow, 1991).
[11] V.L. Vinetskiy, G.A. Kholodar', Radiative physics of semiconductors. ("Naukova Dumka", Kiev,
1979, in Russian).
[12] P.M. Fahey, P.B. Griffin, J.D. Plummer. Point defects and dopant diffusion in silicon. Rev. Mod.
Phys. Vol. 61 (2). P. 289-388 (1989).
[13] M.L. Krasnov, A.I. Kiselev, G.I. Makarenko. Integral equations ("Science", Moscow, 1976).
[14] 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.
[15] E.L. Pankratov. Redistribution of dopant during annealing of radiative defects in a multilayer
structure by laser scans for production an implanted-junction rectifiers. Int. J. Nanoscience. Vol. 7
(4-5). P. 187–197 (2008).
[16] E.L. Pankratov. Decreasing of depth of implanted-junction rectifier in semiconductor heterostruc-
ture by optimized laser annealing. J. Comp. Theor. Nanoscience. Vol. 7 (1). P. 289-295 (2010).
[17] E.L. Pankratov, E.A. Bulaeva. Optimization of manufacturing of emitter-coupled logic to decrease
surface of chip. International Journal of Modern Physics B. Vol. 29 (5). P. 1550023-1-1550023-12
(2015).
[18] 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).
International Journal of Computational Science, Information Technology and Control Engineering
(IJCSITCE) Vol.3, No.3, July 2016
28
[19] E.L. Pankratov, E.A. Bulaeva. Increasing of sharpness of diffusion-junction heterorectifier by us-
ing radiation processing. Int. J. Nanoscience. Vol. 11 (5). P. 1250028-1250035 (2012).
[20] E.L. Pankratov, E.A. Bulaeva. Decreasing of mechanical stress in a semiconductor heterostructure
by radiation processing. J. Comp. Theor. Nanoscience. Vol. 11 (1). P. 91-101 (2014).
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. 2012-2015 Full Doctor course in Radiophysi-
cal Department of Nizhny Novgorod State University. Since 2015 E.L. Pankratov is an Associate Profes-
sor of Nizhny Novgorod State University. He has 155 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. Since 2014 E.A. Bulaeva is in a PhD program in Radiophysical Department of Nizhny
Novgorod State University. She has 103 published papers in area of her researches.