arXiv subjects

A. V. Filimonov

Publications and source records attributed to A. V. Filimonov.

5 recordsLinked to original sources

arXiv2015

Application of neural networks to identify trolls in social networks

In this paper we developed and tested a new algorithm of detecting in social networks users (so-called trolls) who behave in an insulting and provocative way towards other users. In order to detect trolls it is proposed to unite users in groups where all the members have a similar way of communicating. Defining the number of group and distributing the users into these groups is carried out automatically due to application of neural networks of special type - Kohonens self-organized maps. As for users characteristics according to which the distribution into groups might be done we suggest using such data as the number of comments, the average comment length and indicators determining the emotional state of the user (the frequency of encountering certain characters in comments).

cs.SI↗

arXiv2015

Lattice dynamics in the paraelectric phase of PbHfO$_3$ studied by inelastic X-ray scattering

We report the results of an inelastic X-ray scattering study of the lattice dynamics in the paraelectric phase of the antiferroelectric lead hafnate PbHfO$_3$. The study reveals an avoided crossing between the transverse acoustic and transverse optic phonon modes propagating along the [1 1 0] direction with [1 -1 0] polarization. The static susceptibility with respect to the generally incommensurate modulations is shown to increase on cooling for the entire $Γ$-M direction. We consider different approaches to the data analysis that correspond to different models for the temperature evolution of the dynamic susceptibility function. A number of similarities and differences between the lattice dynamics of PbHfO$_3$ and PbZrO$_3$ are described.

cond-mat.mtrl-sci↗

arXiv2014

Lattice dynamics and antiferroelectricity in PbZrO$_3$ tested by X-ray and Brillouin light scattering

We report the results of comprehensive study of the critical dynamics of the prototype perovskite antiferroelectric PbZrO$_3$. The combination of inelastic X-ray and diffuse X-ray scattering techniques and Brillouin light scattering was used. It is found that the dispersion of the TA phonons is strongly anisotropic. The dispersion curve of the in-plane polarized TA phonons propagating in [1 1 0] direction demonstrates pronounced softening. Slowing down of the excitations at R-point is found, it is manifested in growing of the central peak. This slowing down is too weak to be considered as a primary origin of the corresponding order parameter. Obtained results are treated in terms of TA--TO flexoelectric mode coupling. It is demonstrated that the structural phase transformation in PbZrO$_3$ can be considered as the result of the only intrinsic instability associated with the ferroelectric soft mode.

cond-mat.mtrl-sci↗

arXiv2012

Structural heterogeneity and diffuse scattering in morphotropic lead zirconate-titanate single crystals

Complementary diffuse and inelastic synchrotron X-ray scattering measurements of lead zirconate-titanate single crystals with composition near the morphotropic phase boundary (x=0.475) are reported. In the temperature range 293 K < T < 400 K a highly anisotropic quasielastic diffuse scattering is observed. Above 400 K this scattering disappears. Its main features can be reproduced by model of inhomogeneous lattice deformations caused by inclusions of a tetragonal phase into a rhombohedral or monoclinic phase. This observation supports the idea that PZT at its morphotropic phase boundary is essentially structurally inhomogeneous.

cond-mat.mtrl-sci↗

arXiv2004

Neural Network Approach to Study of Langmuir Layers at the Water Surface

The structure of the layers of a phthalocyanines is studied through a measurement of surface pressure-area isotherms at various initial surface concentrations of the spreaded compound. Layer characteristics are determined from experimental data by replotting the isotherms in accordance with M. Volmer s equation. Neural networks taught on approximations of the isoterms. The method is compared with the traditional least square one. Another task for NN is a forecast of main characteristics of the layers.

physics.chem-ph↗