Boris M. Grafov
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Previous Organizations / Institutes
The organizations / institutes from the scholar's other articles in the past ten years
Boris M. Grafov has a total of 15 co-authors. Here are the top co-authors by number of shared publications:
- Alexey Leonidovich Klyuev
Russian Academy of Sciences
4 shared publications A. D. Davydov
Frumkin Institute of Physical Chemistry and Electrochemistry, Russian Academy of Sciences, Moscow, Russia
3 shared publications- A. D. Davydov
Frumkin Institute of Physical Chemistry and Electrochemistry, Russian Academy of Sciences, Moscow, Russia
3 shared publications A. L. Klyuev
Frumkin Institute of Physical Chemistry and Electrochemistry, Russian Academy of Sciences, Moscow, Russia
3 shared publicationsA.E. Suntsov
The A.N. Frumkin Institute of Electrochemistry, Russian Academy of Sciences, Leninskii Prospect 31, 117071 Moscow, Russia
1 shared publication- Alexander Evgenevich Ukshe
Russian Academy of Sciences
1 shared publication
Latest Publications
- 21 September 2022
- Published by Pleiades Publishing Ltd in Russian Journal of Electrochemistry
- Vol. 58 (9) , 725-729
The Einstein Fluctuation–Dissipation Relation as Applied to the Analysis of the Electrochemical Noise Resistance
Within the framework of the Einstein fluctuation–dissipation relation, the theoretical analysis of the noise resistance is carried out for two classical electrochemical ac circuits: Ershler–Randles and Frumkin–Melik-Gaikazyan. It is shown that as the sampling period of the noise signal increases, the noise resistance in the Ershler–Randles circuit tends to its limiting value which coincides with the slow discharge resistance. The asymptotic behavior of the Frumkin–Melik-Gaikazyan circuit is of a different manner. As the sampling period of the noise signal increases, the curve of the noise resistance of the Frumkin–Melik-Gaikazyan circuit transforms into a straight line with the tangent inversely proportional to the thermodynamic capacitance of the electrode. The fluctuation–dissipation relation of Einstein may be used in the theoretical analysis of the noise resistance of other electrochemical ac circuits.
- 21 September 2022
- Published by Pleiades Publishing Ltd in Russian Journal of Electrochemistry
- Vol. 58 (9) , 725-729
The Einstein Fluctuation–Dissipation Relation as Applied to the Analysis of the Electrochemical Noise Resistance
Within the framework of the Einstein fluctuation–dissipation relation, the theoretical analysis of the noise resistance is carried out for two classical electrochemical ac circuits: Ershler–Randles and Frumkin–Melik-Gaikazyan. It is shown that as the sampling period of the noise signal increases, the noise resistance in the Ershler–Randles circuit tends to its limiting value which coincides with the slow discharge resistance. The asymptotic behavior of the Frumkin–Melik-Gaikazyan circuit is of a different manner. As the sampling period of the noise signal increases, the curve of the noise resistance of the Frumkin–Melik-Gaikazyan circuit transforms into a straight line with the tangent inversely proportional to the thermodynamic capacitance of the electrode. The fluctuation–dissipation relation of Einstein may be used in the theoretical analysis of the noise resistance of other electrochemical ac circuits.
- 7 December 2020
- Published by World Scientific Pub Co Pte Ltd in Fluctuation and Noise Letters
- Vol. 20 (03) , 2150029
Relationship Between the Structure Function of Random Time Series and the Discrete Chebyshev Spectrum
The technique of Chebyshev polynomials of discrete variable is used to analyze a random time series. The main result of the work is a new theoretical relationship between the structure function and the discrete Chebyshev spectrum. The relationship is used for the trend-resistant structural analysis of electrochemical noise of corrosion process and for the trend-resistant structural analysis of electronic noise of measuring instrument. Not only the structure function of the analyzed random series, but also the structure function of trend is estimated. The theoretical relationship between the structure function and the discrete Chebyshev spectrum can be used for the trend-resistant structural analysis of random time series of any nature.
- 7 December 2020
- Published by World Scientific Pub Co Pte Ltd in Fluctuation and Noise Letters
- Vol. 20 (03) , 2150029
Relationship Between the Structure Function of Random Time Series and the Discrete Chebyshev Spectrum
The technique of Chebyshev polynomials of discrete variable is used to analyze a random time series. The main result of the work is a new theoretical relationship between the structure function and the discrete Chebyshev spectrum. The relationship is used for the trend-resistant structural analysis of electrochemical noise of corrosion process and for the trend-resistant structural analysis of electronic noise of measuring instrument. Not only the structure function of the analyzed random series, but also the structure function of trend is estimated. The theoretical relationship between the structure function and the discrete Chebyshev spectrum can be used for the trend-resistant structural analysis of random time series of any nature.
- 1 November 2019
- Published by Pleiades Publishing Ltd in Russian Journal of Electrochemistry
- Vol. 55 (11) , 1086-1091
Ergodic Analysis of Three-Dimensional Chebyshev Spectrum of Electrochemical Noise
The ergodicity of electrochemical noise of corrosion process with respect to the three-dimensional Chebyshev spectrum is studied. The electrochemical noise of “two identical electrodes of...
- 1 November 2019
- Published by Pleiades Publishing Ltd in Russian Journal of Electrochemistry
- Vol. 55 (11) , 1086-1091
Ergodic Analysis of Three-Dimensional Chebyshev Spectrum of Electrochemical Noise
The ergodicity of electrochemical noise of corrosion process with respect to the three-dimensional Chebyshev spectrum is studied. The electrochemical noise of “two identical electrodes of...
- 1 August 2019
- Published by Springer Nature in Journal of Solid State Electrochemistry
- Vol. 23 (8) , 2325-2330
The discrete Chebyshev algorithm for nonparametric estimation of autocorrelation function of electrochemical random time series
- 1 August 2019
- Published by Springer Nature in Journal of Solid State Electrochemistry
- Vol. 23 (8) , 2325-2330
The discrete Chebyshev algorithm for nonparametric estimation of autocorrelation function of electrochemical random time series
- 22 November 2018
- Published by Springer Nature in Journal of Solid State Electrochemistry
- Vol. 23 (2) , 497-502
Analysis of discrete spectra of electrochemical noise of lithium power sources
- 22 November 2018
- Published by Springer Nature in Journal of Solid State Electrochemistry
- Vol. 23 (2) , 497-502
Analysis of discrete spectra of electrochemical noise of lithium power sources
- 29 December 2017
- Published by Springer Nature in Journal of Solid State Electrochemistry
- Vol. 22 (6) , 1661-1667
Discrete version of Wiener-Khinchin theorem for Chebyshev’s spectrum of electrochemical noise
- 29 December 2017
- Published by Springer Nature in Journal of Solid State Electrochemistry
- Vol. 22 (6) , 1661-1667
Discrete version of Wiener-Khinchin theorem for Chebyshev’s spectrum of electrochemical noise
- 6 October 2016
- Published by Springer Nature in Journal of Solid State Electrochemistry
- Vol. 21 (3) , 915-918
Median Chebyshev spectroscopy of electrochemical noise
- 6 October 2016
- Published by Springer Nature in Journal of Solid State Electrochemistry
- Vol. 21 (3) , 915-918
Median Chebyshev spectroscopy of electrochemical noise
- 27 September 2016
- Published by Pleiades Publishing Ltd in Russian Journal of Electrochemistry
- Vol. 52 (9) , 885-889
Theory of the first encounter with the boundary by a stochastic diffusion process in an equilibrium electrochemical RC-circuit
- 27 September 2016
- Published by Pleiades Publishing Ltd in Russian Journal of Electrochemistry
- Vol. 52 (9) , 885-889
Theory of the first encounter with the boundary by a stochastic diffusion process in an equilibrium electrochemical RC-circuit
- Open Access
- 2 November 2010
- Published by Walter de Gruyter GmbH in Pure and Applied Chemistry
- Vol. 83 (2) , 253-257
Gibbs fluctuation theory in the context of electrochemical equilibrium noise
The electrochemical noise verification of the Gibbs fluctuation theory shows that the Gibbs ergodic idea works perfectly with respect to the pair correlations of the electrode charge thermal fluctuations. At the same time, the Gibbs formulae for the triple- and higher-order correlations of the electrode charge thermal fluctuations are outside of the ergodic hypothesis. This failure of the Gibbs ergodic idea suggests that the noise version of the electrochemical charge-transfer theory should be developed. In the context of nano-electrochemistry, the second- and higher-order correlations of the electrochemical noise processes may be considered as the quantities suitable for the nano-electrochemical characterization of both the electrode processes and electrochemical devices.
- 2 November 2010
- Published by Walter de Gruyter GmbH in Pure and Applied Chemistry
- Vol. 83 (2) , 253-257
Open AccessGibbs fluctuation theory in the context of electrochemical equilibrium noise
The electrochemical noise verification of the Gibbs fluctuation theory shows that the Gibbs ergodic idea works perfectly with respect to the pair correlations of the electrode charge thermal fluctuations. At the same time, the Gibbs formulae for the triple- and higher-order correlations of the electrode charge thermal fluctuations are outside of the ergodic hypothesis. This failure of the Gibbs ergodic idea suggests that the noise version of the electrochemical charge-transfer theory should be developed. In the context of nano-electrochemistry, the second- and higher-order correlations of the electrochemical noise processes may be considered as the quantities suitable for the nano-electrochemical characterization of both the electrode processes and electrochemical devices.
- 1 February 2003
- Published by Springer Nature in Russian Journal of Electrochemistry
- Vol. 39 (2) , 130-133
Meixner Wavelet Transform: A Tool for Studying Stationary Discrete-Time Stochastic Processes
- 1 February 2003
- Published by Springer Nature in Russian Journal of Electrochemistry
- Vol. 39 (2) , 130-133
Meixner Wavelet Transform: A Tool for Studying Stationary Discrete-Time Stochastic Processes