Version 1
: Received: 8 May 2023 / Approved: 9 May 2023 / Online: 9 May 2023 (12:58:21 CEST)
How to cite:
Godovsky, D.; Keshtov, M.; Kondratenko, M.; Kazaryan, P.; Nekrasov, A.; Erokhin, V. Red-Ox Front Propagation in Polyaniline-Polymer Electrolyte System as a Basis for Spiking and Rate-Based Neural Networks and Multibit ReRAM. Preprints2023, 2023050661. https://doi.org/10.20944/preprints202305.0661.v1
Godovsky, D.; Keshtov, M.; Kondratenko, M.; Kazaryan, P.; Nekrasov, A.; Erokhin, V. Red-Ox Front Propagation in Polyaniline-Polymer Electrolyte System as a Basis for Spiking and Rate-Based Neural Networks and Multibit ReRAM. Preprints 2023, 2023050661. https://doi.org/10.20944/preprints202305.0661.v1
Godovsky, D.; Keshtov, M.; Kondratenko, M.; Kazaryan, P.; Nekrasov, A.; Erokhin, V. Red-Ox Front Propagation in Polyaniline-Polymer Electrolyte System as a Basis for Spiking and Rate-Based Neural Networks and Multibit ReRAM. Preprints2023, 2023050661. https://doi.org/10.20944/preprints202305.0661.v1
APA Style
Godovsky, D., Keshtov, M., Kondratenko, M., Kazaryan, P., Nekrasov, A., & Erokhin, V. (2023). Red-Ox Front Propagation in Polyaniline-Polymer Electrolyte System as a Basis for Spiking and Rate-Based Neural Networks and Multibit ReRAM. Preprints. https://doi.org/10.20944/preprints202305.0661.v1
Chicago/Turabian Style
Godovsky, D., Alexandr Nekrasov and Victor Erokhin. 2023 "Red-Ox Front Propagation in Polyaniline-Polymer Electrolyte System as a Basis for Spiking and Rate-Based Neural Networks and Multibit ReRAM" Preprints. https://doi.org/10.20944/preprints202305.0661.v1
Abstract
We observed and studied the phenomenon of the redox front propagation in different polyaniline (PAni) deposited samples interfaced with liquid or solid polymeric electrolyte. The front of electrochemical conversion, in which the insulator and the conductor parts of PAni are interfaced, is studied observing the temporal evolution of the conductivity of PAni samples. The propagation of redox front was studied in electrochemically obtained thick (2 µm) and in thin (50 nm) poly-aniline films, obtained using Langmuir-Blodgett (LB) method. In the configuration that we tested, the speed of the red-ox front propagation for the thin LB films was found to be 200 micron/sec opening the way for the manufacturing large neural networks, realized using PAni based memristive devices, in which the memristance can be quickly changed in the programmable manner. The prototypes of the spiking neuron connections were manufactured on the basis of lithographically developed gold contacts, bridged by electrochemically grown polyaniline and placed under polymer electrolyte layer with only one counter electrode (gate) for the whole manifold of pseudo-two-terminal memristor bridges. The spike propagation was studied in such gold-polyaniline systems. The research opens the possibility of miniature spike or rate-based neural network circuits manufacture, based on metal pads and polyaniline.
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
