Nitrogen-Induced Enhancement of Synaptic Weight Reliability in Titanium Oxide-Based Resistive Artificial Synapse and Demonstration of the Reliability Effect on the Neuromorphic System

With the significant technological developments in recent times, the neuromorphic system has been receiving considerable attention owing to its parallel arithmetic, low power consumption, and high scalability. However, the low reliability of artificial synapse devices disturbs calculations and causes inaccurate results in neuromorphic systems. In this paper, we propose a stable resistive artificial synapse (RAS) device with nitrogen-doped titanium oxide (TiOx:N)-based resistive switching (RS) memory. The TiOx:N-based RAS, compared to the TiOx-based RAS, demonstrates more stable RS characteristics in current–voltage (I–V) and pulse measurements. In terms of resistance variability, the TiOx:N-based RAS demonstrates five times lower resistance variability at 1.38%, compared to 6.68% with the TiOx-based RAS. In addition, we verified the relation between the neuromorphic system and the resistance reliability of the synapse device for the first time. The pattern recognition simulation is performed using an arti...