A. Emelyanov

发表

Modification of the structure and hydrogen content of amorphous hydrogenated silicon films under conditions of femtosecond laser-induced crystallization

A. Kazanskii, P. Kashkarov, A. Emelyanov, 2014 .

Non-Ohmic Conductivity of High-Resistance Layers of Diamond-Like Carbon

A. Vedeneev, A. Emelyanov, S. Nikolaev, 2021, Journal of Communications Technology and Electronics.

Self-adaptive STDP-based learning of a spiking neuron with nanocomposite memristive weights

V. A. Demin, V. Rylkov, M. V. Kovalchuk, 2019, Nanotechnology.

Formation of a Memristive Array of Crossbar-Structures Based on (Co40Fe40B20)x(LiNbO3)100 Nanocomposite

Yu. V. Grishchenko, V. A. Demin, V. Rylkov, 2019, Journal of Communications Technology and Electronics.

Spike‐Timing‐Dependent and Spike‐Shape‐Independent Plasticities with Dopamine‐Like Modulation in Nanocomposite Memristive Synapses

A. Emelyanov, V. Demin, K. Nikiruy, 2020, physica status solidi (a).

Arrays of Nanocomposite Crossbar Memristors for the Implementation of Formal and Spiking Neuromorphic Systems

A. Emelyanov, K. Nikiruy, V. Demin, 2022, Nanobiotechnology Reports.

Resistive switching kinetics of parylene-based memristive devices with Cu active electrodes

V. Rylkov, A. Emelyanov, V. Demin, 2021 .

Memristors Based on Nanoscale Layers LiNbO3 and (Co40Fe40B20)x(LiNbO3)100 – x

V. Rylkov, A. Iliasov, A. Emelyanov, 2020 .

Transport Properties of Magnetic Nanogranular Composites with Dispersed Ions in an Insulating Matrix

V. Rylkov, A. Granovsky, A. Emelyanov, 2020 .

Memristors Based on Poly(p-xylylene) with Embedded Silver Nanoparticles

V. A. Demin, V. Rylkov, P. Kashkarov, 2020, Technical Physics Letters.

On the resistive switching mechanism of parylene-based memristive devices

V. Erokhin, V. Rylkov, A. Emelyanov, 2019, Organic Electronics.

Yttria-stabilized zirconia cross-point memristive devices for neuromorphic applications

V. A. Demin, O. Gorshkov, P. Dimitrakis, 2019, Microelectronic Engineering.

Resistive switching kinetics and second-order effects in parylene-based memristors

V. A. Demin, M. Kovalchuk, P. Kashkarov, 2020, Applied Physics Letters.

The Properties of Memristive Structures Based on (Co40Fe40B20)x(LiNbO3)100 –x Nanocomposites Synthesized on SiO2/Si Substrates

V. A. Demin, V. Rylkov, A. Emelyanov, 2020, Technical Physics.

SYNAPTIC PLASTICITY OF MEMRISTIVE STRUCTURES BASED ON POLY-P-XYLYLENE

V. A. Demin, V. Rylkov, A. Emelyanov, 2019, Nanotechnologies in Russia.

Transport, Magnetic, and Memristive Properties of a Nanogranular (CoFeB)x(LiNbOy)100–x Composite Material

V. Rylkov, A. Vasiliev, Y. Kalinin, 2018 .

Parylene Based Memristive Devices with Multilevel Resistive Switching for Neuromorphic Applications

V. Erokhin, V. Rylkov, Alexander A. Nesmelov, 2019, Scientific Reports.

Visible luminescence from hydrogenated amorphous silicon modified by femtosecond laser radiation

P. Kazansky, M. Gecevicius, M. Beresna, 2012, 1206.6025.

Convolutional Neural Network Based on Crossbar Arrays of (Co-Fe-B)x(LiNbO3)100−x Nanocomposite Memristors

V. A. Demin, A. Emelyanov, A. Bugaev, 2022, Nanomaterials.

Sneak, discharge, and leakage current issues in a high-dimensional 1T1M memristive crossbar

V. A. Demin, M. V. Kovalchuk, M. Kovalchuk, 2020 .

Neuromorphic elements and systems as the basis for the physical implementation of artificial intelligence technologies

A. V. Emelyanov, Vyacheslav A. Demin, Pavel K. Kashkarov, 2016 .

Optical Monitoring of the Resistive States of a Polyaniline‐Based Memristive Device

V. Erokhin, A. Emelyanov, D. Lapkin, 2020, Advanced Electronic Materials.

Comparison of Polythophene Memistor Devices Manufactured by Layering and Centrifugal Methods

V. A. Demin, V. Erokhin, A. Emelyanov, 2019, Nanotechnologies in Russia.

Scalable nanocomposite parylene-based memristors: Multifilamentary resistive switching and neuromorphic applications

V. A. Demin, P. Kashkarov, A. Emelyanov, 2022, Nano Research.

Second-Order Nanoscale Thermal Effects in Memristive Structures Based on Poly-p-Xylylene

V. A. Demin, V. Rylkov, P. Kashkarov, 2020, JETP Letters.

Sneak, discharge, and leakage current issues in a high-dimensional 1T1M memristive crossbar

V. A. Demin, P. Kashkarov, A. Emelyanov, 2020, Journal of Computational Electronics.

Unusual Behavior of the Coercive Field in a (CoFeB)x(LiNbOy)100 –x Nanocomposite with a High Content of Magnetic Ions in an Insulating Matrix

V. A. Demin, V. Rylkov, O. Udalov, 2019, Journal of Experimental and Theoretical Physics.

Noise-assisted persistence and recovery of memory state in a memristive spiking neuromorphic network

Victor B. Kazantsev, Bernardo Spagnolo, K. E. Nikiruy, 2021 .

Low Temperature Magnetic Properties of Amorphous Ferromagnetic Fe–Si–B Glass-Coated and Glass Removed Microwire

A. Emelyanov, V. Rodionova, I. Baraban, 2018, Physics of the Solid State.

Solvothermal synthesis of Sm3+-doped Fe3O4 nanoparticles.

A. Soldatov, A. Budnyk, E. Kudryavtsev, 2017, Materials science & engineering. C, Materials for biological applications.

Properties of Nanocomposites With Different Concentrations of Magnetic Ions in an Insulating Matrix

V. Rylkov, A. Granovsky, A. Taldenkov, 2019, IEEE Magnetics Letters.

Parylene-based memristive synapses for hardware neural networks capable of dopamine-modulated STDP learning

V. A. Demin, V. Rylkov, A. Emelyanov, 2021 .

Multifilamentary Character of Anticorrelated Capacitive and Resistive Switching in Memristive Structures Based on (Co−Fe−B)x(LiNbO3)100−x Nanocomposite

V. A. Demin, V. Rylkov, M. Kovalchuk, 2019, 1912.03726.

Polyaniline-based memristive microdevice with high switching rate and endurance

Pavel K. Kashkarov, D. A. Lapkin, Andrey V. Emelyanov, 2018 .

Percolation effect in structures with amorphous and crystalline silicon nanoclusters

V. Timoshenko, V. Sokolov, A. Emelyanov, 2012 .

Electronic structure and unusual magnetic properties of diluted magnetic semiconductors Pb1-x-ySnxScyTe

E. V. Bogdanov, A. Taldenkov, A. Emelyanov, 2021, Journal of Alloys and Compounds.

Effect of hydrogen concentration on structure and photoelectric properties of a-Si:H films modified by femtosecond laser pulses

P. Kazansky, M. Gecevicius, M. Beresna, 2014 .

Dopamine-like STDP modulation in nanocomposite memristors

K. E. Nikiruy, V. V. Rylkov, A. V. Sitnikov, 2019, AIP Advances.

A Precise Algorithm of Memristor Switching to a State with Preset Resistance

K. E. Nikiruy, A. V. Emelyanov, Vyacheslav A. Demin, 2018 .

Properties of granular (CoFeB) (Al2O3)100-x and (CoFeB) (LiNbO3)100-x nanocomposites: Manifestation of superferromagnetic ordering effects

V. Rylkov, A. Sitnikov, A. Granovsky, 2017, Journal of Magnetism and Magnetic Materials.

Parylene Based Memristive Devices with Multilevel Resistive Switching for Neuromorphic Applications

V. Erokhin, V. Rylkov, A. Emelyanov, 2019, Scientific Reports.

First steps towards the realization of a double layer perceptron based on organic memristive devices

Victor Erokhin, Pavel K. Kashkarov, D. A. Lapkin, 2016 .

Combination of Organic‐Based Reservoir Computing and Spiking Neuromorphic Systems for a Robust and Efficient Pattern Classification

V. A. Demin, V. Erokhin, S. Marasso, 2023, Adv. Intell. Syst..

Nanocomposite parylene-C memristors with embedded Ag nanoparticles for biomedical data processing

V. A. Demin, A. Emelyanov, A. Minnekhanov, 2022, Organic Electronics.

Multi-Terminal Nonwoven Stochastic Memristive Devices Based on Polyamide-6 and Polyaniline for Neuromorphic Computing

V. A. Demin, V. Erokhin, A. Emelyanov, 2023, Biomimetics.

Parylene-based memristive crossbar structures with multilevel resistive switching for neuromorphic computing

V. A. Demin, A. Vasiliev, A. Emelyanov, 2022, Nanotechnology.

Necessary conditions for STDP-based pattern recognition learning in a memristive spiking neural network

V. A. Demin, V A Demin, D V Nekhaev, 2020, Neural Networks.

Associative STDP-like learning of neuromorphic circuits based on polyaniline memristive microdevices

Victor Erokhin, Vyacheslav A. Demin, Nikita Prudnikov, 2020, Journal of Physics D: Applied Physics.

Pulse Programming of Resistive States of a Benzothieno[3,2‐B][1]‐Benzothiophene‐Based Organic Memristive Device with High Endurance

S. Ponomarenko, V. V. Erokhin, S. Peregudova, 2021, physica status solidi (RRL) – Rapid Research Letters.

Magnetic Metal-Nonstoichiometric Oxide Nanocomposites: Structure, Transport, and Memristive Properties

V. Rylkov, A. Granovsky, A. Emelyanov, 2018 .

Femtosecond laser induced crystallization of hydrogenated amorphous silicon for photovoltaic applications

Peter G. Kazansky, Martynas Beresna, Pavel K. Kashkarov, 2014 .

PANI-based neuromorphic networks �� first results and close perspectives

A. V. Emelyanov, D. A. Lapkin, M. V. Kovalchuk, 2015, 2015 International Conference on Memristive Systems (MEMRISYS).

Hardware elementary perceptron based on polyaniline memristive devices

A. V. Emelyanov, Vyacheslav A. Demin, Pavel K. Kashkarov, 2015 .

Memristive circuit-based model of central pattern generator to reproduce spinal neuronal activity in walking pattern

V. A. Demin, Igor A. Lavrov, V. V. Erokhin, 2023, Frontiers in Neuroscience.

Spike-timing-dependent plasticity of polyaniline-based memristive element

A. V. Emelyanov, Vyacheslav A. Demin, D. A. Lapkin, 2018 .

Polyaniline‐Based Memristive Devices as Key Elements of Robust Reservoir Computing for Image Classification

V. A. Demin, V. V. Erokhin, A. Emelyanov, 2023, physica status solidi (a).

Conductance Quantization in Memristive Structures Based on Poly-p-Xylylene

V. A. Demin, V. Rylkov, A. Emelyanov, 2020, Semiconductors.

Solvothermal Synthesis of Sm 3 +-doped Fe 3 O 4 nanoparticles

A. Soldatov, A. Budnyk, E. Kudryavtsev, 2018 .