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Invited researcher Bernardo Spagnolo
Contract number
074-02-2018-330 (2)
Time span of the project
2018-2020

As of 15.02.2021

50
Number of staff members
25
scientific publications
7
Objects of intellectual property
General information

Name of the project: Complex research of fluctuation phenomena in multistable systems for creation of new generations of electronic devices and neuromorphic artificial intelligence technologies based on memristive materials

Strategy for Scientific and Technological Development Priority Level: а


Goals and objectives

Research directions: Application of new methods of statistical analysis in research of fluctuation phenomena in multistable memristive systems with the purpose of detection and detailed investigation of the constructional role of noise which allows to ensure a forward-looking scientific development for creation of a new generation of electronic devices and neural artificial intelligence technologies based on memristive materials.

Project objective:

- Research of impact of external and internal noises on behavior of multistable systems, study of behavior of multistable systems, study and analysis of phenomena with constructive role of noise in multistable systems

- Experimental research of behavior of memristive nanostructures based on oxide materials under influence of external and internal noises development of an adequate physical macromodel of memristor accounting for impact of external and internal noises and comparison of this model with the micromodel of physical and chemical phenomena responsible for resistive switching.

- Study of the microscopic nature of formation and impact of flicker noise and high frequency noise in memristive nanostructures, experimental demonstration of fundamentally new possibilities for increase of stability, forecasting of behavior and control of parameters of memristive devices in prototypes of electron device and new generation neuromorphic systems.


The practical value of the study

During the main phase of the project, a path has been passed from solving fundamental problems of materials science, physics of complex nonlinear stochastic systems to memristive devices in integral design, new physical and mathematical models that take into account the influence of fluctuations, and analog-digital circuits based on memristors. The results of theoretical and experimental investigation of fluctuation phenomena in multistable systems based on memristive materials are generalized. Fundamentally new possibilities for improving stability, predicting behavior, and controlling parameters of memristive devices in prototypes of new-generation electronic devices and neuromorphic systems have been experimentally demonstrated. Technological recommendations have been developed for the manufacturing of resistive memory elements and devices based on them, demonstrating the stability of behavior and the ability to control parameters. The investigation of the role of stochastic factors and noise in the learning ability of impulse neural network architectures based on synaptic memristive structures is carried out.

Based on the investigation of fluctuation phenomena in memristive systems, a stochastic memristor macromodel was created, which becomes an effective tool in the development of a new element base and computer-aided design tools for a number of products based on memristors. As expected and as the investigation have shown, fluctuations can play a constructive role in memristive systems.

Implemented results of research: 

The studies carried out make it possible to find new applications for the discovered phenomena and implement the proposed methods for improving the characteristics of electronic devices based on memristive materials. This brings the project to a new applied level, requiring focus on specific electronic products, related products and close interaction with organizations in the real sector of the economy.

The most obvious application of memristive devices is the universal resistive memory RRAM (Resistive Random Access Memory), which combines the qualities of random access memory and read-only memory, and also has a unique radiation resistance, which is important for use in space and nuclear reactors. The promising areas of application of memristive devices also include energy-efficient hardware neural networks (neuroprocessors) for communication systems, including IoT, big data processing, robotics and artificial intelligence. In the future, a new technological breakthrough may be associated with the creation on the basis of brain-like memristive networks of adaptive neuroprostheses and neurointerfaces for replacing, expanding or restoring the lost functional capabilities of the brain.

It should be emphasized that the results of scientific research carried out by the Laboratory of Stochastic Multistable Systems are already of practical interest to large Russian and foreign microelectronic companies:

• JSC "NIIME";

• Branch of RFNC-VNIIEF “Research Institute of Measuring Systems named after Yu.E. Sedakov";

• Huawei Technologies.

Education and career development:

Since 2018, a regular scientific and educational seminar of the Laboratory of Stochastic Multistable Systems (StoLab) has been held. A regular seminar was organized by order of the rector of UNN for students, graduate students and young scientists. The main objective of the seminar is to present the results of research activities of the StoLab in the field of integrated research of fluctuation phenomena in multistable systems for the creation of new generations of electronic devices and neuromorphic artificial intelligence technologies based on memristive materials, as well as in related fields.

The laboratory staff organized 2 international scientific seminars in Russia and Greece, 2 international conferences in Italy, 1 international symposium in Russia and 3 Russian scientific conferences.

In 2019 prof. B. Spagnolo gave a course of lectures on topical problems of modern statistical physics for students and staff of UNN.

The staff of the StoLab is responsible for scientific supervision of the research of students and postgraduates of UNN. According to the results of research conducted by the StoLab:

- prepared and defended numerous graduate qualification works of UNN students

- prepared a dissertation for the degree of candidate of physical and mathematical sciences by Koryazhkina M. on the topic "Resistive switching in memristors based on stabilized zirconium dioxide", successfully defended at UNN on December 26, 2018.

- prepared a dissertation for a Ph.D. by A. Kharcheva on the topic “Anomalous diffusion and nonlinear relaxation phenomena in stochastic models of interdisciplinary physics”, successfully defended at the University of Palermo on March 20, 2020.

- prepared a dissertation for a Ph.D. by Koryazhkina M. on the topic "Resistive switching in memristors based on yttria-stabilized zirconia", successfully defended at the University of Palermo on March 12, 2021.

- prepared a dissertation for the degree of candidate of physical and mathematical sciences by S. Gerasimova on the topic "Generation and synchronization of signals in neuromorphic radiophysical systems", successfully defended at UNN on March 24, 2021.

- prepared a dissertation for the degree of candidate of physical and mathematical sciences by A. Kharcheva on the topic "Statistical analysis of Brownian and anomalous diffusion as applied to the problems of physics, ecology and biology", which is planned to be defended at UNN in 2021.

- prepared a dissertation for the degree of candidate of physical and mathematical sciences by Carollo A., whose defense is planned at UNN in 2021.

- prepared a dissertation for the degree of Doctor of Physical and Mathematical Sciences by Klyuev A.V. on the topic "Fluctuation effects in semiconductor structures with potential barriers and physical systems with ice rules", the protection of which is planned at UNN in 2021.

In 2018-2020 29 laboratory employees improved their qualifications.

Organizational and structural changes:

The Stochastic Multistable Systems Laboratory (StoLab, http://www.stolab.unn.ru/) operates at UNN as part of the Physics of Solid State Nanostructures Research Center. The laboratory is interdisciplinary and consists of 5 sectors: the sector of modern methods of stochastic analysis, the sector of technology of memristive materials , sector of microscopic probe research, sector of noise physics, sector of neuromorphic technologies. Within the framework of the interdisciplinary laboratory, the efforts of the leading scientific, pedagogical and engineering and technical workers of UNN (the Faculty of Radiophysics, REC "Physics of Solid State Nanostructures", the Faculty of Physics, NIFTI, Nizhny Novgorod Neuroscience Center) and representatives of the Kurchatov complex of NBIKS-technologies (NRC "Kurchatov Institute") The research team consists of 50 people, including 5 doctors of sciences, 18 candidates of sciences, 8 students of the NNSU and 6 postgraduates of the NNSU.

Other results: We have conducted 4 international scientific events with the topic «Stochastic multistable systems» and a scientific seminar «Neuromorphic and neurohybrid systems» within the symposium «Volga Neuroscience Meeting – 2018» in the research area of the Laboratory.

Collaborations:

On the basis of UNN, active cooperation is underway with employees of a number of subdivisions of the Research Institute of Neurosciences and the Institute of Biology and Biomedicine, aimed at the development and creation of new generations of neuromorphic and neurohybrid systems based on the developed memristive circuits and living networks (cultures and tissues) of the brain for solving urgent problems of robotics, artificial intelligence and medicine. To develop original scientific and technological solutions for photolithography of thin-film structures as part of memristive devices, the Laboratory cooperates with specialists from the Department of Physical Chemistry, Faculty of Chemistry, UNN.

The laboratory team employs 2 foreign scientists from the University of Palermo, Italy (B. Spagnolo and A. Carollo).

Joint research was carried out with the involvement of an associate professor of Chungbuk National University of South Korea, Sunjun Kim, within the framework of a remote employment contract, aimed at developing and researching new metal-oxide memristive devices for neuromorphic computing systems; joint article published.

Joint research is being carried out with the involvement of the head of the Computational Biology laboratory of the Center for Biomedical Technologies of the Madrid Polytechnic University of Spain, Alexander Pisarchik, within the framework of a remote labor contract, aimed at developing a neurohybrid interface based on the self-organization of multistable memristive and living neuronal systems; joint article published.

StoLab partners:

- National Research Center "Kurchatov Institute", Moscow, Russia

- University of Leicester, Great Britain

- Loughborough University, Great Britain

- Polytechnic University of Madrid, Center for Biomedical Technology, Madrid, Spain

- University of Granada, Department of Electronics and Computer Technology, Granada, Spain

- National Center for Scientific Research Demokritos, Institute of Nanoscience and Nanotechnology, Athens, Greece

- University of South Carolina, Columbia, Department of Physics and Astronomy, United States

- Tsinghua University, Institute of Microelectronics, Beijing, China

- Dongguk University, Division of Electronics and Electrical Engineering, Seoul, Republic of Korea

- Indian Institute of Technology (IIT) Ropar, Department of Electrical Engineering, Guwahati, India

- LLC "Engineering Center of Lobachevsky University"

- Branch of RFNC-VNIIEF Scientific Research Institute of Measuring Systems named after Yu.E. Sedakov", Nizhny Novgorod, Russia

- Joint Stock Company "Research Institute of Molecular Electronics", Zelenograd, Moscow, Russia

- Huawei Technologies

Based on the results of cooperation in co-authorship with representatives of these partner organizations, articles were prepared / published in Q1 journals and chapters in collective monographs.

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D.V. GUSEINOV, I.V. MATYUSHKIN, N.V. CHERNYAEV, A.N. MIKHAYLOV, Y.V. PERSHIN
Capacitance effects can make memristor chaotic. Chaos, Solitons & Fractals (2021)
S.A. GERASIMOVA, A.V. LEBEDEVA, A. FEDULINA, M. KORYAZHKINA, A.I. BELOV, M.A. MISHCHENKO, M. MATVEEVA, D. GUSEINOV, A.N. MIKHAYLOV, V.B. KAZANTSEV, A.N. PISARCHIK
A neurohybrid memristive system for adaptive stimulation of hippocampus. Chaos, Solitons & Fractals (2021)
A.V. YAKIMOV, D.O. FILATOV, O.N. GORSHKOV, A.V. KLYUEV, N.I. SHTRAUB, V.S. KOCHERGIN, B. SPAGNOLO
Influence of oxygen ion elementary diffusion jumps on the electron current through the conductive filament in yttria stabilized zirconia nanometer sized memristor. Special issue of Chaos, Solitons & Fractals (2021).
N.V. AGUDOV, A.V. SAFONOV, A.V. KRICHIGIN, A.A. KHARCHEVA, A.A. DUBKOV, D. VALENTI, D.V. GUSEINOV, A.I. BELOV, A.N. MIKHAYLOV, A. CAROLLO, B. SPAGNOLO
Nonstationary distributions and relaxation times in a stochastic model of memristor. Journal of Statistical Mechanics: Theory and Experiment (2020)
D.O. FILATOV, A.S. NOVIKOV, V.N. BARANOVA, D.A. ANTONOV, A.V. KRUGLOV, I.N. ANTONOV, A.V. ZDOROVEYSHCHEV, M.N. KORYAZHKINA, O.N. GORSHKOV, A.A. DUBKOV, A. CAROLLO, B. SPAGNOLO
Experimental investigations of local stochastic resistive switching in yttria stabilized zirconia film on a conductive substrate. Journal of Statistical Mechanics: Theory and Experiment (2020)
A. V. YAKIMOV, D. O. FILATOV, O. N. GORSHKOV, D. A. ANTONOV, D. A. LISKIN, I. N. ANTONOV, A. V. BELYAKOV, A. V. KLYUEV, A. CAROLLO, B. SPAGNOLO
Measurement of the activation energies of oxygen ion diffusion in yttria stabilized zirconia by flicker noise spectroscopy. Applied Physics Letters (2019).
D.O. FILATOV, D.V. VRZHESHCH, O.V. TABAKOV, A.S. NOVIKOV, A.I. BELOV, I.N. ANTONOV, V.V. SHARKOV, M.N. KORYAZHKINA, A.N. MIKHAYLOV, O.N. GORSHKOV, A.A. DUBKOV, A. CAROLLO, B. SPAGNOLO
Noise-induced resistive switching in a memristor based on ZrO2(Y)/Ta2O5 stack. Journal of Statistical Mechanics: Theory and Experiment (2019)
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