Investigation of nanoporous material under quasi-equilibrium conditions
Based on the three parametric Lorenz system, a model was developed that permits to describe the behavior of the plasma-condensate system near phase equilibrium in a self-consistent way. Considering the effect of fluctuations of the growth surface temperature, the evolution equation and the correspon...
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Інститут фізики конденсованих систем НАН України
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irk-123456789-1210702017-06-14T03:05:12Z Investigation of nanoporous material under quasi-equilibrium conditions Yushchenko, O.V. Zhylenko, T.I. Based on the three parametric Lorenz system, a model was developed that permits to describe the behavior of the plasma-condensate system near phase equilibrium in a self-consistent way. Considering the effect of fluctuations of the growth surface temperature, the evolution equation and the corresponding Fokker-Planck equation were obtained. The phase diagram is built which determines the system parameters corresponding to the regime of the porous structure formation. На основi трипараметричної системи Лоренца була розвинена модель, що дозволяє самоузгодженим чином описати поведiнку системи плазма-конденсат поблизу фазової рiвноваги. Враховуючи вплив флуктуацiй температури ростової поверхнi, були знайденi рiвняння еволюцiї та вiдповiдне рiвняння Фоккера-Планка. Побудована фазова дiаграма, на основi якої визначенi параметри системи, якi вiдповiдають режимовi утворення пористих структур. 2013 Article Investigation of nanoporous material under quasi-equilibrium conditions / O.V. Yushchenko, T.I. Zhylenko // Condensed Matter Physics. — 2013. — Т. 16, № 1. — С.13605:1–8. — Бібліогр.: 16 назв. — англ. 1607-324X PACS: 64.70.fm, 68.43.Hn, 05.10.Gg DOI:10.5488/CMP.16.13605 arXiv:1303.5540 http://dspace.nbuv.gov.ua/handle/123456789/121070 en Condensed Matter Physics Інститут фізики конденсованих систем НАН України |
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Based on the three parametric Lorenz system, a model was developed that permits to describe the behavior of the plasma-condensate system near phase equilibrium in a self-consistent way. Considering the effect of fluctuations of the growth surface temperature, the evolution equation and the corresponding Fokker-Planck equation were obtained. The phase diagram is built which determines the system parameters corresponding to the regime of the porous structure formation. |
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Yushchenko, O.V. Zhylenko, T.I. |
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Yushchenko, O.V. Zhylenko, T.I. Investigation of nanoporous material under quasi-equilibrium conditions Condensed Matter Physics |
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Yushchenko, O.V. Zhylenko, T.I. |
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Yushchenko, O.V. |
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Investigation of nanoporous material under quasi-equilibrium conditions |
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Investigation of nanoporous material under quasi-equilibrium conditions |
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Investigation of nanoporous material under quasi-equilibrium conditions |
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Investigation of nanoporous material under quasi-equilibrium conditions |
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Investigation of nanoporous material under quasi-equilibrium conditions |
| title_sort |
investigation of nanoporous material under quasi-equilibrium conditions |
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Інститут фізики конденсованих систем НАН України |
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2013 |
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http://dspace.nbuv.gov.ua/handle/123456789/121070 |
| citation_txt |
Investigation of nanoporous material under quasi-equilibrium conditions / O.V. Yushchenko, T.I. Zhylenko // Condensed Matter Physics. — 2013. — Т. 16, № 1. — С.13605:1–8. — Бібліогр.: 16 назв. — англ. |
| series |
Condensed Matter Physics |
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AT yushchenkoov investigationofnanoporousmaterialunderquasiequilibriumconditions AT zhylenkoti investigationofnanoporousmaterialunderquasiequilibriumconditions |
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2025-07-08T19:08:35Z |
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2025-07-08T19:08:35Z |
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1837106953817423872 |
| fulltext |
Condensed Matter Physics, 2013, Vol. 16, No 1, 13605: 1–8
DOI: 10.5488/CMP.16.13605
http://www.icmp.lviv.ua/journal
Investigation of nanoporous material under
quasi-equilibrium conditions
O.V. Yushchenko, T.I. Zhylenko
Sumy State University, 2 Rimskii-Korsakov St., 40007 Sumy, Ukraine
Received October 16, 2012, in final form December 5, 2012
Based on the three parametric Lorenz system, a model was developed that permits to describe the behavior
of the plasma-condensate system near phase equilibrium in a self-consistent way. Considering the effect of
fluctuations of the growth surface temperature, the evolution equation and the corresponding Fokker-Planck
equation were obtained. The phase diagram is built which determines the system parameters corresponding to
the regime of the porous structure formation.
Key words: self-organization, supersaturation, phase equilibrium, condensation, phase diagram
PACS: 64.70.fm, 68.43.Hn, 05.10.Gg
1. Introduction
Nowadays, modern nanotechnologies are developed by using a variety of methods, one of which is
the condensation process in the steady state close to phase equilibrium. This method makes it possible
to obtain various structures of a condensate, fractal surfaces, porous structures, etc. [1, 2]. The principal
feature of this condensation process is the plasma-condensate system being close to phase equilibrium.
Consequently, the adsorbed atoms are arranged on the active centers of crystallization forming struc-
tures with different architectures. In quasi-equilibrium conditions for continuous copper condensation
of about 7 hours, the formation of highly porous structures, whiskers, and some intermediate structures
(fibrous structures with alternating crystalline and porous parts) was observed. Of particular interest is
the structure shown in figure 1, which unlike ordinary single crystals, is realized under unstable temper-
ature regime.
20 m
Figure 1. Porous structure of the copper, ob-
tained by spray-deposited material at high dis-
charge power [1, 2].
These structures may be of great practical inte-
rest. For example, they can be used as a molecular
sieve.
However, a question arises regarding the rea-
sons of holding the plasma-condensate system near
phase equilibrium. Taking into account a universal
nature of the condensation process, we assumed
earlier [2–5] that it is caused by self-organization
of a multi-phase plasma-condensate system. From
the physical point of view, the mentioned self-
organization is explained by an increase of the en-
ergy of the adsorbed atoms which results in the
temperature increase of the growth surface un-
der the effect of the plasma within the condensa-
tion process. On the other hand, an increase of the
growth surface temperature is compensated by the
desorption flow of the adsorbed atoms, which are
© O.V. Yushchenko, T.I. Zhylenko, 2013 13605-1
http://dx.doi.org/10.5488/CMP.16.13605
http://www.icmp.lviv.ua/journal
O.V. Yushchenko, T.I. Zhylenko
responsible for supersaturation. As a result, within the framework of synergetic ideology [6], our consid-
eration is based on the three-parameter Lorenz system [7, 8].
The paper is organized as follows. In section 2, the self-organized system that forms the basis of our
consideration is described. Section 3 discusses the statistical analysis of the motion equation. The station-
ary solution of the Fokker-Planck equation is considered in section 4. General conclusions are presented
in section 5.
2. Basic equations
Considering that a quasi-equilibrium condensation is provided on the growth surface due to a self-
consistent development of the processes in the plasma volume, we will further use a three-dimensional
(volume) concentration of the condensate N and a two-dimensional (surface) concentration n ≡ N a. Here
a is a scale factor, which plays the role of the lattice parameter and its value will be determined below.
For a given value of the equilibrium concentration ne, the increasing supersaturation n −ne is pro-
vided by the diffusion component defined by the Onsager relation [9, 10] for the adsorption flow
Jad ≡ D|∇∇∇N | ≃
D
λ
(Nac −N ). (2.1)
It takes into account that the main decrease in the concentration value takes place near the cathode layer,
whose thickness is determined by the screening length λ. The latter and the diffusion coefficient D are
given by the equations [9, 10]
λ2
=
εTp
4πe2Ni
, D =
σTp
e2Ni
, (2.2)
where ε, σ are the dielectric permittivity and the conductivity of the plasma, respectively, Tp is its tem-
perature measured in the energy units; e , Ni are the charge and the total concentration of the ions of the
deposited substance and the inert gas.
In the second relation (2.1), it is considered that at the upper boundary layer of the cathode the volume
concentration of the deposited atoms is reduced to the accumulated value Nac, and the lower boundary
of this layer presents the growth surface, near which the concentration of atoms is N .
A decrease of supersaturation n −ne is ensured by the desorption flow J, which is directed up from
the growth surface, so that J < 0, while the value of the adsorption flow Jad > 0. In case there is no
condensate (when all the adsorbed atoms have evaporated from the substrate), the condition J = −Jad
is performed for the desorption component. Here, the accumulated flow Jad is defined by the equation
(2.1), where N = Ne. The diffusion changes of the concentration N of the deposited atoms are presented
by the continuity equation ṅ/a+∇∇∇Jad = 0. Here, the point over n denotes the differentiation with respect
to time and the source effect is given by the estimate
|∇∇∇Jad| ≃
Jad
λ
≃
(D/λ2)(n−ne)
a
. (2.3)
Thus, the diffusion dissipation of concentration is expressed by the equation ṅ ≃ (D/λ2)(n−ne)/a.
On the other hand, the velocity of desorption of atoms
∫
v Ṅ dv in volume v , based on the growth
surface s, is as follows:
∫
ν
Ṅ dv =−
∫
ν
(∇∇∇J)dv =−
∫
S̄
Jds, (2.4)
where the first equation takes into account the continuity condition, while the second equation considers
the Gauss theorem. As a result, the total change of concentration n = n(t) near the growth surface is
described by the equation
ṅ =
ne −n
τn
− J . (2.5)
At the same time, the characteristic relaxation time of the supersaturation is determined by the equalities
τn ≡
λ2
D
=
ε
4πσ
, (2.6)
13605-2
Investigation of nanoporous material
the second equality being in agreement with the second relation (2.2).
Within the framework of the synergetic picture [8], the quasi-equilibrium condensation process is
caused by the fact, that along with an increase of the supersaturation n−ne , the condensed atoms trans-
fer the excess of their energy to the growth surface. As a result, its temperature T (measured from the
ambient temperature) increases as well. This enhances the evaporation of the deposited atoms due to an
increase of the absolute value of the desorption flow J < 0, which compensates the initial supersaturation.
Thus, an appropriate representation of the sequential picture of quasi-equilibrium condensation pro-
cess requires a self-consistent description of the time dependence of the concentration n(t) of adsorbed
atoms, the growth surface temperature T (t) and the desorption flow J (t). According to [8], the evolution
equations of these values contain dissipative components and the terms presenting positive and negative
feedbacks, the balance of which provides a self-organization process. Thereby, in the equation (2.5), the
first term on the right hand side represents the dissipation contribution, and the second term presents a
linear relation between the rate of the concentration changes and the desorption flow.
The evolution equation for the temperature of the growth surface is presented in a similar way
τTṪ =−T −aTn J +ζ(t), (2.7)
where τT is a corresponding relaxation time, aT > 0 is the coupling constant. In contrast to the equa-
tion (2.5), it is assumed that dissipation leads to the relaxation of the growth surface temperature to the
value T = 01. The second term represents the nonlinear relationship of Ṫ with concentration and flow.
Since the structure shown in figure 1, was obtained at an unstable temperature regime, the third term
on the right hand side of (2.7) is a stochastic source of temperature changes representing the Ornstein-
Uhlenbeck process2:
〈ζ(t)〉 = 0, 〈ζ(t)ζ(t ′)〉 =
I
τζ
exp
{
−
|t − t ′|
τζ
}
. (2.8)
Here, I is the intensity of temperature fluctuations, τζ is the time of their correlation.
To ensure self-organization, it is required to compensate the negative relationship in the expression
(2.7) by a positive component in the evolution equation of the flow:
τJ J̇ =−(Jac + J )+a J nT, (2.9)
where τJ is a corresponding relaxation time, Jac is the accumulation flow, a J > 0 is a constant of a positive
feedback, allowing the growth of the J̇ due to themutual effect of the concentration of the adsorbed atoms
and the growth surface temperature.
Thus, equations (2.5), (2.7), (2.9) present a synergetic system, where the supersaturation n − ne is
reduced to the order parameter, the temperature T of the growth surface – to the conjugate field, and
the desorption flow J – to the control parameter [8]. As a result, the task is to investigate the possible
stationary regimes in a stochastic plasma-condensate system, in particular, to consider the regime of the
formation of porous structures.
The most simple investigation of the system (2.5), (2.7), (2.9) is possible within a dimensionless form
using the characteristic scales for the time t , the concentration n, the temperature of the growth surface
T , the flow J , and for the intensity of the temperature fluctuations I :
ts ≡ τn , ns ≡ a−2, Ts ≡ ε, Js ≡ τ−1
n a−2, Is ≡ τ−1
n a−2
J , (2.10)
where the above-mentioned length a = (aTa J )1/4 and energy ε= (τn a J )−1 were used.
Thus, the dimensionless system of equations describing the fluctuational transition in a plasma-con-
densate system takes the form
ṅ = −(n−ne)− J ,
ǫṪ = −T −n J +ζ(t),
σ J̇ = −(Jac + J )+nT, (2.11)
1It should be noted that the condition T = 0 does not correspond to the absolute zero since the temperature T is measured from
the ambient temperature.
2Investigation of the temperature fluctuation in the form of white noise was carried out in [2].
13605-3
O.V. Yushchenko, T.I. Zhylenko
where we introduced the relations for the relaxation times
ǫ=
τT
τn
, σ=
τJ
τn
. (2.12)
3. Statistical analysis
While this system has no analytical solution, we will use the approximation τn ≃ τJ ≫ τT, which
means that the temperature varies most rapidly. This situation is realized in the experiment very rarely,
but the structure, presented in figure 1, is obtained exactly under unstable temperature regime (unstable
cooling).
Then, on the left hand side of the equation (2.9), we can assume ǫṪ ≃ 0, and the conjugate field is
expressed by the equation T =−n J +ζ(t).
After some simple mathematical operations [8, 11, 12] the system (2.11) reduces to the evolution equa-
tion having a canonical form of the nonlinear stochastic Van der Pol oscillator [13]
σn̈ +γ(n)ṅ = f (n)+ g (n)ζ(t). (3.1)
Here, the friction coefficient γ(n), the force f (n) and the noise amplitude g (n) are presented by the
equations
γ(n) = 1+σ+n2 ,
f (n) = Jac − (n−ne)(1+n2),
g (n) = n. (3.2)
Then, the task is to find a distribution function of the system in the phase space formed by the con-
centration n and the rate of its change p =σṅ depending on time t .
To this end, the Euler equation (3.1) is conveniently represented by the Hamilton formalism
ṅ = σ−1p,
ṗ = −σ−1γ(n)p + f (n)+ g (n)ζ(t). (3.3)
Thus, the above-mentioned probability density P (n, p, t) is reduced to the distribution function ρ(n, p, t)
for the solutions of the system (3.3):
P (n, p, t) = 〈ρ(n, p, t)〉ζ , (3.4)
where 〈. . .〉ζ means the averaging over noise ζ.
We will proceed from the continuity equation
∂
∂t
ρ(n, p, t)+
{
∂
∂n
[
ṅρ(n, p, t)
]
+
∂
∂p
[
ṗρ(n, p, t)
]
}
= 0. (3.5)
Further, the substitution of the equalities (3.3) leads to the Liouville equation
[
∂
∂t
+L̂ (n, p)
]
ρ(n, p, t) =−g (n)ζ(t)
∂
∂p
ρ(n, p, t), (3.6)
where the operator
L̂ (n, p) =
p
σ
∂
∂n
+
∂
∂p
[
f (n)−
γ(n)
σ
]
. (3.7)
Turning to the interaction representation [14]
̺(n, p, t) = eL̂ (n,p)tρ(n, p, t), (3.8)
the equation (3.6) takes the form
∂̺(n, p, t)
∂t
=−eL̂ (n,p)t g (n)ζ(t)
∂
∂p
e−L̂ (n,p)t ̺(n, p, t) ≡ εR(n, p, t)̺(n, p, t), (3.9)
13605-4
Investigation of nanoporous material
where ε is a dimensionless small parameter [14]. Then, using the cumulant expansion method [15], one
can obtain the kinetic equation3
∂̺(n, p, t)
∂t
= ε2
t
∫
0
〈
R(n, p, t)R(n, p, t ′)
〉
〈̺(n, p, t ′)〉dt ′, (3.10)
neglecting the terms of ε3 order [8].
Since a physical time t is usually much longer than the noise correlation time τζ, the upper limit of the
integration can be set equal to infinity. Then, returning from the interaction presentation to the original
presentation, for the distribution function (3.4) we obtain
[
∂
∂t
+L̂ (n, p)
]
P (n, p, t) = ε−2
N̂ P (n, p, t). (3.11)
Here, N̂ is a scattering operator, which is given by the expression
N̂ =
[
M0(t)−γ(n)M1(t)
]
g 2(n)
∂2
∂p2
+εM1(t)g 2(n)
[
−
1
g (n)
∂g (n)
∂n
(
∂
∂p
+p
∂2
∂p2
)
+
∂2
∂n∂p
]
+O(ε2), (3.12)
where M0(t) and M1(t) are the moments of the correlation function (2.8)
Mi (t) =
1
i !
∞
∫
0
t i
〈ζ(t)ζ(0)〉dt . (3.13)
From equation (3.13) one can obtain
M0(t)= I , M1(t) = Iτζ . (3.14)
Since, for this task, a complete distribution function P (n, p, t) has a lower practical interest than its
integral
P (n, t) =
∫
P (n, p, t)dp, (3.15)
it makes sense to consider the moments of the initial distribution function
P i (n, t) =
∫
p i P (n, p, t)dp. (3.16)
Then, the zero moment is reduced to the required integral (3.15).
Multiplying equation (3.11) by p i and integrating over all p , we arrive at the relation that can be
written as a Fokker-Planck equation presented in the Kramers-Moyal form [16]
∂P (n, t)
∂t
=−
∂
∂n
[D1(n)P (n, t)]+
∂2
∂n2
[D2(n)P (n, t)] , (3.17)
where the drift coefficient
D1(n) =
1
γ(n)
[
f (n)−M0(t)
g 2(n)
γ2(n)
∂γ(n)
∂n
+M1(t)g (n)
∂g (n)
∂n
]
(3.18)
and the diffusion coefficient
D2(n) = M0(t)
g 2(n)
γ2(n)
(3.19)
are presented by the functions (3.2).
3It takes into account that the time derivatives in equations (3.6), (3.9) were treated according to the Stratonovich rule.
13605-5
O.V. Yushchenko, T.I. Zhylenko
4. Stationary solution
A stationary solution of the Fokker-Planck equation [16] yields a stationary distribution [8, 11]
P (n) =
Z−1
D2(n)
exp
n
∫
0
D1(n′)
D2(n′)
dn′, (4.1)
where the partition function Z is presented by the equation
Z =
∞
∫
0
dn
D2(n)
exp
n
∫
0
D1(n′)
D2(n′)
dn′. (4.2)
The extremum condition for the distribution (4.1)
D1(n)−
∂
∂n
D2(n) = 0 (4.3)
defines the stationary states of the plasma-condensate system.
6 8 10
I
-1
0
1
2
-2
12 14
6
4
1
2
3
8
5
7
2 4 6 8 10 12 14
-2
-1
1
2
0
S
C
O
OC
SC
J
ac
J
ac
I
a
b
Figure 2. Phase diagram of the system. The solid
line corresponds to ne = 0.25,τζ = 0.5, the dashed
line – to ne = 0.75,τζ = 0.5, and the dotted line –
to ne = 0.25,τζ = 0.75. The letters indicate the rel-
evant domains of the phase diagram, and the dots
(marked by numbers) correspond to the parame-
ters at which the stationary concentration depen-
dence (figure 3) is analyzed.
Substituting expressions (3.18), (3.19), (3.2), and
(3.14) into the equation (4.3) we obtain the equation
defining the stationary concentration dependence
Jac =
2I (1+σ)n
[
(1+σ)+n2
]2
+ (n−ne)(1+n2)− Iτζn. (4.4)
Then, the condition that restricts the domain of
the existence of the solution n = 0 corresponding
to the complete evaporation of the condensate from
the growth surface, has the form
Jac =−ne . (4.5)
The corresponding phase diagram of the system
is shown in figure 2.
While figure 2 (a) shows the effect of the system
parameters (the equilibrium concentration ne and
the correlation time of fluctuations τζ), figure 2 (b)
considers in detail the domains of the phase dia-
gram. In particular, the domain C corresponds to
the condensation process, the domain S is charac-
terized by the formation of porous structures, and a
complete evaporation of the condensedmatter takes
place at the domain O. The domains, which are in-
dicated by two letters, meet the coexistence of the
above mentioned regimes.
It is more convenient to understand the pro-
cesses occurring in each domain considering the ex-
ample of the stationary concentration dependence
presented in figure 3.
Each point on the phase diagram [figure 2 (b)]
corresponds to the ray in figure 3 (a), (b).
For example, for the ray 1 [figure 3 (a)] only the
condensation process is realized. It corresponds to
the point C ′ characterized by a sufficient stationary concentration n. With a decrease of the accumulated
flow (ray 2), there is observed a gradual disassembly of the previously formed condensate. This situation
corresponds to the existence of two steady states with different concentrations (points C and S ′).
13605-6
Investigation of nanoporous material
n
-3 -2 -1 0 1 2
0
1
2
8 7 6 5
O O'
S
C
C'
C''
n
-2 -1 0 1 2 3
0
1
2
4 3 2 1
O
S
S'
C
C'
3 Jac
a b
Jac
Figure 3. The dependence of the stationary concentration n on the accumulated flow Jac at ne = 0.25,
τζ = 0.5, (a) I = 8, (b) I = 14.
It should be noted that the additional intersection point of the main curve and the ray 2 (which is
located between C and S ′) applies to the non-physical plot and, therefore, it is not considered4. Turning
to the state of the surface disassembly (point S ′), it is worth noting that in this case the usual evaporation
of the upper layer of the condensate does not take place. First, the atoms which are less connected with
the crystallization centers, are detached from the condensate surface. With a further decrease of the
accumulated flow (ray 3), the only state of the surface disassembly remains (point S). This is the situation
that characterizes the pattern shown in figure 1 and is of great interest to us. Going to the ray 4, the
disassembly is replaced by the usual evaporation process (point O).
Analyzing the relationship (4.4) for higher intensity of fluctuations [figure 3 (b)], one can see that
some changes occur. As previously, only condensation process (point C ′′) is realized for ray 5, while ray
6 is characterized by the coexistence of disassembly (point S) and condensation (point C ′) processes. The
main difference is found for the ray 7, when together with the condensation process (point C ), evapora-
tion (point O′) takes place. At the parameters specified for the ray 8, only evaporation occurs.
5. Conclusion
Based on the above analysis, we can conclude that processes occurring in the plasma-condensate sys-
tem can be represented within the system (2.5), (2.7) and (2.9) describing the self-consistent behavior of
concentration, temperature of the growth surface and desorption flow. Taking into account the fluctua-
tions of the growth surface temperature with the correlation function (2.8) makes it possible to describe
the most specific state (disassembly of the surface), when porous nanostructures may be formed. In ad-
dition, as shown in figure 2 (a), the system parameters have a significant effect on the domain of the
formation of such structures. With an increase of the correlation time of fluctuations, this domain signifi-
cantly decreases and shifts towards the lower values of the fluctuation intensity, while an increase in the
equilibrium concentration results in a less significant decrease, as well as causes a shift along two axis
(fluctuation intensity and accumulated flow). As a real experiment [1, 2], our theoretical approach has
shown that the state of the surface disassembly is rarely realized. However, controlling the parameters
of a system, we can reach the regime under which porous nanostructures are formed.
Acknowledgements
The authors are grateful to professor V.I. Perekrestov for placing the experimental material at their
disposal.
4This also applies to the similar cases in figure 3 (b).
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O.V. Yushchenko, T.I. Zhylenko
References
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Дослiдження нанопористих матерiалiв за умов
квазирiвноваги
О.В. Ющенко, Т.I. Жиленко
Сумський державний унiверситет, вул. Римського-Корсакова, 2, 40007 Суми, Україна
На основi трипараметричної системи Лоренца була розвинена модель, що дозволяє самоузгодженим чи-
ном описати поведiнку системи плазма-конденсат поблизу фазової рiвноваги. Враховуючи вплив флукту-
ацiй температури ростової поверхнi, були знайденi рiвняння еволюцiї та вiдповiдне рiвняння Фоккера-
Планка. Побудована фазова дiаграма, на основi якої визначенi параметри системи, якi вiдповiдають ре-
жимовi утворення пористих структур.
Ключовi слова: самоорганiзацiя, пересичення, фазова рiвновага, конденсацiя, фазова дiаграма
13605-8
http://dx.doi.org/10.1134/S1063783409050266
http://dx.doi.org/10.1134/S1063783411040287
http://dx.doi.org/10.1016/j.physa.2011.10.027
http://dx.doi.org/10.1103/PhysRevE.85.051127
http://dx.doi.org/10.1103/PhysRevE.48.109
Introduction
Basic equations
Statistical analysis
Stationary solution
Conclusion
|