Imeni Vladimira Il’icha Lenina, Russia
Imeni Vladimira Il’icha Lenina, Russia

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Baidyshev V.S.,Katanov State University of Khakassia | Gafner Y.Y.,Katanov State University of Khakassia | Samsonov V.M.,Tver State University | Bembel A.G.,Tver State University
Crystallography Reports | Year: 2015

The boundaries of thermal stability of the initial fcc phase in aluminum and lead clusters up to 3 nm in diameter have been investigated by the method of molecular dynamics using a modified tight-binding potential TB-SMA. It is shown that in small Al and Pb clusters the initial fcc phase passes into different structural modifications due the temperature factor. The polytype transition temperature has been found to approach the cluster melting temperature with an increase in the nanoparticle size. It is established that geometric “magic” numbers play an important role in the formation of structure of Al clusters (in contrast to Pb clusters). © 2015, Pleiades Publishing, Inc.


Chepkasov I.V.,Katanov State University of Khakassia | Popov Z.I.,RAS Kirensky Institute of Physics
IOP Conference Series: Materials Science and Engineering | Year: 2015

Molecular dynamics method using the tight-binding potential to carry out simulation of ultrafast heating of the synthesized particles from the gas phase to a temperature T= 600K and T= 900K, at which the particles were kept about 10 ns. As a result of the simulation revealed that the method of ultrafast heating the particles to high temperatures virtually eliminates the possibility of a clusters of defective education, but as a result of the heat treatment, the some of investigated particles can disconnect (burst) into smaller clusters. © Published under licence by IOP Publishing Ltd.


Engel E.,Katanov State University of Khakassia | Kovalev I.V.,Siberian State Aerospace University | Ermoshkina A.,Katanov State University of Khakassia
IOP Conference Series: Materials Science and Engineering | Year: 2015

Within Smart Grid concept the flexible biometric-based module base on Principal Component Analysis (PCA) and selective Neural Network is developed. The formation of the selective Neural Network the biometric-based module uses the method which includes three main stages: preliminary processing of the image, face localization and face recognition. Experiments on the Yale face database show that (i) selective Neural Network exhibits promising classification capability for face detection, recognition problems; and (ii) the proposed biometric-based module achieves near real-time face detection, recognition speed and the competitive performance, as compared to some existing subspaces-based methods. © Published under licence by IOP Publishing Ltd.


Engel E.,Katanov State University of Khakassia | Kovalev I.V.,Siberian State Aerospace University | Kobezhicov V.,Katanov State University of Khakassia
IOP Conference Series: Materials Science and Engineering | Year: 2015

This paper presents an adaptive neuro-controller for intelligent control of non-linear dynamical system. The formed as the fuzzy selective neural net the adaptive neuro-controller on the base of system's state, creates the effective control signal under random perturbations. The validity and advantages of the proposed adaptive neuro-controller are demonstrated by numerical simulations. The simulation results show that the proposed controller scheme achieves real-time control speed and the competitive performance, as compared to PID, fuzzy logic controllers. © Published under licence by IOP Publishing Ltd.


Chepkasov I.V.,Katanov State University of Khakassia | Redel L.V.,Katanov State University of Khakassia
IOP Conference Series: Materials Science and Engineering | Year: 2015

On the basis of our former simulations, we conclude that the heat capacity in the case of isolated free clusters can exceed that of a bulk material. It was found that at T=200K the increase in the Cu nanocluster heat capacity (D = 6nm) was only 10%, decreasing with growing nanoparticle proportionally to the reduction in the fraction of surface atoms. Thus, the considerably larger heat capacities of copper nanostructures observed in the experimental works cannot be related to the characteristics of free clusters. In our view, these properties of a nanomaterial can be associated with the degree of agglomeration of its constituent particles, i.e., the interphase boundaries and the increase in the root-mean-square displacements of atoms on the combined surface of the interconnected nanoclusters can have a strong effect. To test the above hypothesis, we took copper clusters of various sizes (4071-15149 atoms) that we produced when simulating the synthesis of Cu nanoparticles. Thus, in our molecular-dynamics experiments using a tight-binding potential at high temperatures, we failed to properly assess the role of the interphase boundaries in calculating the heat capacity of nanoparticles. The reason was the mass diffusion of Cu atoms to impart an energetically more favorable shape and structure to the cluster. At low temperatures, the heat capacity of the clusters exceeded that of the bulk same by a value from 10% to 17%. Consequently, the Cu clusters produced in direct experiments cannot be immediately applied in devices using the thermal energy of such clusters, because their external shape and internal structure are nonideal. © Published under licence by IOP Publishing Ltd.


Gafner Yu.Ya.,Katanov State University of Khakassia | Gafner S.L.,Katanov State University of Khakassia
IOP Conference Series: Materials Science and Engineering | Year: 2015

The opportunity of transition metals nanoclusters' usage as a data bits in memory devices for the recording transition "order-disorder" has been analyzed. Therefore, with the help of the molecular dynamics method on the basis of TB-SMA potential the simulation of metal nanoparticles (D = 1.6 - 5.0 nm) crystallization processes have been studied. Influence of various conditions of crystallization on formation of internal structure in metal nanoclusters is investigated. The stability boundaries of various crystalline isomers are analyzed. The obtained dependences are compared with the corresponding data obtained for copper and nickel nanoparticles having similar sizes. The limiting size of nanoparticles is determined, for which a structural "order-disorder" transition necessary for the data recording is still possible. © Published under licence by IOP Publishing Ltd.


Gafner Y.Y.,Katanov State University of Khakassia | Baidyshev V.S.,Katanov State University of Khakassia
IOP Conference Series: Materials Science and Engineering | Year: 2015

The boundaries of thermal stability of the initial face-centered cubic (fcc) phase in perfect aluminum clusters with a diameter up to 3 nm have been investigated by the molecular dynamics method using a modified tight binding (TB-SMA) potential. Based on the performed computer analysis, it has been concluded that, in most cases, for aluminum clusters with sizes up to D = 2.5 nm, the most stable configuration is the structure with pentagonal symmetry. With a further increase in the number of atoms, the fcc structure becomes more stable. The influence of the degree of disorder of nanocompacted aluminum particles up to 4 nm in diameter on the formation of a crystal structure during heat treatment has been analyzed. It has been shown that, under the effect of the temperature factor, the clusters undergo a transition from the initial fcc phase to other structural modifications, including those with pentagonal symmetry, even in the case of clusters with fairly large sizes. © Published under licence by IOP Publishing Ltd.


Udodov V.N.,Katanov State University of Khakassia
Physics of the Solid State | Year: 2015

The general interpolation formulas, which generalize the classical consequences of the static scaling hypothesis for phase transitions with variation in the temperature and field, have been proposed. The classical results have been derived from these formulas as a limiting partial case for the asymptotic proximity to a positive critical temperature. It has also been shown that some consequences of the scaling hypothesis also remain correct at a zero critical temperature; however, for example, the Essam–Fisher equality changes its form in the latter case, namely, the numeral two on the right-hand side is replaced by unity. © 2015, Pleiades Publishing, Ltd.


Engel E.A.,Katanov State University of Khakassia | Kovalev I.V.,Siberian State Aerospace University | Engel N.E.,Katanov State University of Khakassia
IOP Conference Series: Materials Science and Engineering | Year: 2016

This paper presents the fuzzy recurrent neuronet for PV system's control. Based on the PV system's state, the fuzzy recurrent neural net tracks the maximum power point under random perturbations. The validity and advantages of the proposed intelligent control of PV system are demonstrated by numerical simulations. The simulation results show that the proposed intelligent control of PV system achieves real-time control speed and competitive performance, as compared to a classical control scheme on the basis of the perturbation & observation algorithm. © Published under licence by IOP Publishing Ltd.


Engel E.A.,Katanov State University of Khakassia | Kovalev I.V.,Siberian State Aerospace University | Engel N.E.,Katanov State University of Khakassia
IOP Conference Series: Materials Science and Engineering | Year: 2016

An article describes vector control of wind turbine based on fuzzy selective neural net. Based on the wind turbine system's state, the fuzzy selective neural net tracks an maximum power point under random perturbations. Numerical simulations are accomplished to clarify the applicability and advantages of the proposed vector wind turbine's control on the basis of the fuzzy selective neuronet. The simulation results show that the proposed intelligent control of wind turbine achieves real-time control speed and competitive performance, as compared to a classical control model with PID controllers based on traditional maximum torque control strategy. © Published under licence by IOP Publishing Ltd.

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