Dr. Igor S. Yasnikov
Research Institute for Advanced Technologies, Togliatti State University, Tolyatti, Samarskaya Oblast’, Russia
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Academic Career Length
31Years (1996-Present)
(Calculated once Scilit publication data is synced: current year − year of first publication + 1)
Representative Publications
View All Publications1 April 2014 in Scripta Materialia
Journal Article
23 November 1998 in Physical Review Letters
Journal Article
ASA. I. Safonov
A. I. SafonovSVS. A. Vasilyev
S. A. Vasilyev
Igor S. YasnikovILI. I. Lukashevich
I. I. Lukashevich
SJS. Jaakkola
S. Jaakkola
We have performed magnetic compression experiments with the two-dimensional gas of hydrogen atoms on liquid at . For 2D phase-space densities higher than 3, the probability of three-body dipole recombination is observed to decrease gradually by an order of magnitude in comparison to its low-density value . This is attributed to local coherence developing in a 2D quasicondensate. We have also determined the value for the mean-field energy of the gas.
1 March 2016 in Acta Materialia
Journal Article
AVAlexei Vinogradov
Alexei VinogradovIgor S. YasnikovHMH. Matsuyama
H. Matsuyama
MUM. Uchida
M. Uchida
YKY. Kaneko
Y. Kaneko
YEY. Estrin
Y. Estrin
1 December 2017 in Acta Materialia
Journal Article
1 October 2021 in Surface and Coatings Technology
Journal Article
APAnton V. Polunin
Anton V. Polunin
ACAlisa O. Cheretaeva
Alisa O. Cheretaeva
EBEugeny D. Borgardt
Eugeny D. Borgardt
IRIgor A. Rastegaev
Igor A. Rastegaev
MKMikhail M. Krishtal
Mikhail M. Krishtal
Igor S. Yasnikov +1
18 June 2014 in Journal of Applied Physics
Journal Article
We demonstrate that the fractal dimension (FD) of the dislocation population in a deforming material is an important quantitative characteristic of the evolution of the dislocation structure. Thus, we show that peaking of FD signifies a nearing loss of uniformity of plastic flow and the onset of strain localization. Two techniques were employed to determine FD: (i) inspection of surface morphology of the deforming crystal by white light interferometry and (ii) monitoring of acoustic emission (AE) during uniaxial tensile deformation. A connection between the AE characteristics and the fractal dimension determined from surface topography measurements was established. As a common platform for the two methods, the dislocation density evolution in the bulk was used. The relations found made it possible to identify the occurrence of a peak in the median frequency of AE as a harbinger of plastic instability leading to necking. It is suggested that access to the fractal dimension provided by AE measurements and by surface topography analysis makes these techniques important tools for monitoring the evolution of the dislocation structure during plastic deformation—both as stand-alone methods and especially when used in tandem.
About Me
Igor S. Yasnikov (born 1971) graduated with best honors from the Depertment of Molecular and Chemical Physics at the Moscow Institute of Physics and Technology (MIPT) in 1994, specializing in Applied Mathematics and Physics, and subsequently completed his full-time postgraduate studies at MIPT in 1997. From 1991 to 1997 he was engaged in research at the Institute of Superconductivity and Solid State Physics (part of the Russian Research Center "Kurchatov Institute" in Moscow), as well as at the University of Turku (Finland) and Kyoto University (Japan) as Guest Reseacher. Since 2011 he was engaged in research as a Leading Researcher at the Laboratory for the Physics of Strength of Materials and Intelligent Diagnostic Systems in Research Institute for Advanced Technologies of Togliatti State University.
The primary aim of Igor S. Yasnikov’s research addresses a key challenge in modern physical materials science: the development of a comprehensive and representative engineering-mathematical framework for the precise processing and critical analysis of mechanical testing data for metallic materials. This framework enables not only the interpretation of experimental results through the lens of defect ensemble dynamics but also the prediction of the service life of advanced materials and structures.