Удовиченко Сергей Юрьевич

Heading:

Physico-mathematical modeling

Author:

Sergey Yu. Udovichenko

About author:

Dr. Sci. (Phys.-Math.), Professor, Department of Applied and Technical Physics, School of Natural Sciences, University of Tyumen, Tyumen, Russia; Scientific Director of the Memristive Materials Laboratory, Center for Nature-Inspired Engineering, University of Tyumen, Tyumen, Russia; udotgu@mail.ru, https://orcid.org/0000-0003-3583-7081

Articles:

Releases Archive. Bulletin of Tyumen State University. Physics and mathematics. Informatics (№4, 2012)

Unsteady temperature fields investigation under the impact of highly-focused heavy ions beam with flat two-layered target

Sergey Yu. Udovichenko
Releases Archive. Bulletin of Tyumen State University. Physics and mathematics. Informatics (№7, 2013)

Production of silicon nitride layers with stoichiometric composition and supersaturation on silicon with the help of the characteristics of magnetron discharge

Sergey Yu. Udovichenko
Releases Archive. Bulletin of Tyumen State University. Physics and mathematics. Informatics (№7, 2013)

The study of the supersaturated silicon layer of silicon nitride with the help of secondary-ion mass-spectrometry

Sergey Yu. Udovichenko
Releases Archive. Bulletin of Tyumen State University. Physics and mathematics. Informatics (№7, 2014)

The study of heat-proof diffusion coating on heat-resistant nickel alloy gte blades

Sergey Yu. Udovichenko
2015, Vol. 1. №1(1)

Modeling of high-current low-pressure discharge in planar and cylindrical magnetrons

Sergey Yu. Udovichenko
2016, Vol. 2. №4

Logical Commutator and a Storage Device Based on Memristor Cells for Electrical Circuits of Neuroprocessor

Sergey Yu. Udovichenko
2017, Vol. 3. №4

Combined Memristor-Diode Crossbar as a Memory Storage Base

Sergey Yu. Udovichenko
2019, Vol. 5. №2

Increase of switching range of resistive memristor for realization of a greater number of synaptic states in a neuroprocessor

Sergey Yu. Udovichenko
2019, Vol. 5. №4 (20)

Materials selection and fabrication nanotechnology of the composite memristor-diode crossbar — the basis of neuroprocessor hardware implementation

Sergey Yu. Udovichenko
2020. Vol. 6. № 2 (22)

Mathematical modeling of resistive states and dynamic switching of a metal oxide memristor

Sergey Yu. Udovichenko
2020. Vol. 6. № 3 (23)

The study of the electrophysical properties of a composite memristor-diode crossbar as a basis of the neuroprocessor hardware implementation

Sergey Yu. Udovichenko
2020. Vol. 6. № 4 (24)

Simulation of information decoding processes in the output device of the biomorphic neuroprocessor

Sergey Yu. Udovichenko
2021. Vol. 7. № 2 (26)

Numerical simulation and experimental study of a hardware pulse neural network with memristor synapses

Sergey Yu. Udovichenko
2022. Vol. 8. № 2 (30)

Mathematical modeling of memristor resistive switching based on mass transfer full model of oxygen vacancies and ions

Sergey Yu. Udovichenko
2022. Vol. 8. № 4 (32)

Algorithms for building and operation modeling of large electrical circuits with memristor-diode crossbars in a biomorphic neuroprocessor

Sergey Yu. Udovichenko
2023. Vol. 9. № 2 (34)

Compact multifilament model of resistive switching metal-oxide memristor

Sergey Yu. Udovichenko
2024. Vol. 10. No. 3 (39)

A nonstationary model of mass transfer of oxygen vacancies and trapped electrons for determination of temperature influence on properties of a metal oxide memristor

Sergey Yu. Udovichenko