Laboratory of neural electronics and memristive nanomaterials

Name of the project:

Hybrid neuroelectronics for robotic complexes and artificial intelligence systems based on biocompatible memristive nanomaterials

Goals of project:

Developing electronic components for hybrid neuromorphic systems based on biocompatible memristive nanomaterials, technologies of the synthesis of films of metal oxides and new gradient oxide nanocomposites, oxide nanostructures and 2D materials with improved operational parameters, designing structures and technologies for manufacturing memristive crossbars and algorithms for programming neural networks based on them, modeling, manufacturing and of prototypes of hybrid neuromorphic systems performing the main cognitive functions of robotic complexes, artificial intelligence systems and next-generation computer architectures based on neural processors as well as creating a world-class laboratory of neural electronics and memristive nanomaterials at the Southern Federal University under the supervision of the leading scientist from South Korea.

Project objective:

1. Modeling the processes of the synthesis of biocompatible memristive nanomaterials based on oxide films of metals, oxide films of gradient nanocomposites, oxide nanostructures and 2D materials produced by electrochemical, pulsed laser and magnetron deposition as well as by chemical precipitation from the gas phase;
2. Modeling resistive switching in biocompatible memristive nanomaterials based on oxide films of metals, oxide films of gradient nanocomposites, oxide nanostructures and 2D materials;
3. Researching the laws of synthesis of biocompatible memristive nanomaterials based on oxide films of metals, oxide films of gradient nanocomposites, oxide nanostructures and 2D materials;
4. Developing methodologies and programs for controlling the measurement of the main parameters of resistive switching in memristive structures;
5. Developing basic mathematical models of the neural-like dynamics of biocompatible memristive structures;
6. Researching the structure, phase and element composition of biocompatible memristive nanomaterials based on oxide films of metals, oxide films of gradient nanocomposites, oxide nanostructures and 2D materials;
7. Researching the laws of impact of the dimensional effects, the structural and electrophysical parameters on resistive switching in biocompatible memristive nanomaterials;
8. Studying the reproducibility and temporal stability of resistive switching in biocompatible memristive nanomaterials;
9. Researching multilevel resistive switching in biocompatible memrisitve nanomaterials;
10. Researching the processes of the generation and transmission of signals in models of neurons and synapses built on the basis of biocompatible memristive structures;
11. Researching of the impact of the materials of the electrodes of crossbar structures, the composition and temperature of the environment on resistive switching in prototypes of hybrid neuromorphic structures based on biocompatible memristive nanomaterials;
12. Developing and optimizing the designs of memristive crossbar structures for hybrid neuromorphic systems of robotic complexes and RеRAM neural processors;
13. Designing technological processes of the formation of memristive crossbar structures for hybrid neuromorphic systems of robotic complexes and RеRAM neural processors;
14. Manufacturing prototypes of hybrid neuromorphic structures of robotic complexes and   RеRAM neural processors based on biocompatible memristive nanomaterials;
15. Modeling processes of signal transmission and processing in neural networks, relying on biologically feasible memristive devices;
16. Programming prototypes of hybrid neuromorphic structures of robotic complexes and RеRAM neural processors based on biocompatible memristive nanomaterials;
17. Researching the operational parameters of prototypes of hybrid neuromorphic strucrues of robotic complexes and RеRAM neural processors based on biocompatible memristive nanomaterials.