Лаборатория

Лаборатория стохастических
мультистабильных систем

Laboratory of Stochastic
Multistable Systems

StoLab laboratory

The aim of the laboratory is to study the constructive role of noise and fluctuation phenomena in multistable memristive systems using the latest methods of statistical analysis to create new generations of electronic devices and neuromorphic artificial intelligence technologies based on memristive materials.

Memristor

A memristor is an element of an electrical circuit able to change resistance depending on the electrical action applied to it. The main advantages of thin-film memristors are their simple structure, small size, high speed, and low power consumption of memory elements based on them.

The uniqueness of the laboratory

The uniqueness of the laboratory lies in the implementation of a unified systematic approach to the formation, study and application of memristive systems, which are associated with a new paradigm in the development of microelectronics, leading to the creation of unique biosimilar information and computing systems, similar in capabilities to the human brain.

The practical significance of research

The main application of memristive devices is the universal resistive memory RRAM, 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 atomic reactors.

The Stochastic Multistable Systems Laboratory (StoLab)

The Stochastic Multistable Systems Laboratory (StoLab) was created at UNN in 2018 by order of the rector No. 69-OD dated 06.02.2018 in accordance with the Decree of the Government of the Russian Federation No. 220 dated April 9, 2010 and in accordance with Agreement No. 074-02-2018-330 (2) between UNN and the Ministry of Education and Science of the Russian Federation.

 

Laboratory head (leading scientist)

Prof. Spagnolo Bernardo (University of Palermo, Italy)

 

Direction of scientific research

Comprehensive study of fluctuation phenomena in multistable systems for creating new generations of electronic devices and neuromorphic artificial intelligence technologies based on memristive materials.

 

Research goal

Investigation of the constructive role of noise and fluctuation phenomena in multistable memristive systems using the latest statistical analysis methods to create new generations of electronic devices and neuromorphic artificial intelligence technologies based on memristive materials.

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