Multi-level resistance switching and random telegraph noise analysis of nitride based memristors
Nikolaos Vasileiadis, Panagiotis Loukas, Panagiotis Karakolis,, Vassilios Ioannou-Sougleridis, Pascal Normand, Vasileios Ntinas,, Iosif-Angelos Fyrigos, Ioannis Karafyllidis, Georgios Ch. Sirakoulis and, Panagiotis Dimitrakis

TL;DR
This paper investigates silicon nitride memristors, demonstrating multi-level resistance switching and analyzing their noise characteristics, which are crucial for advancing resistive memory and neuromorphic computing applications.
Contribution
It introduces bipolar resistance switching in silicon nitride memristors with a novel tuning protocol for multi-level operation and noise analysis, enhancing understanding of their dynamics.
Findings
Multi-level resistance states achieved under specific conditions.
A flexible protocol for tuning resistance levels was developed.
Retention and noise characteristics were thoroughly analyzed.
Abstract
Resistance switching devices are of special importance because of their application in resistive memories (RRAM) which are promising candidates for replacing current nonvolatile memories and realize storage class memories. These devices exhibit usually memristive properties with many discrete resistance levels and implement artificial synapses. The last years, researchers have demonstrated memristive chips as accelerators in computing, following new in-memory and neuromorphic computational approaches. Many different metal oxides have been used as resistance switching materials in MIM or MIS structures. Understanding of the mechanism and the dynamics of resistance switching is very critical for the modeling and use of memristors in different applications. Here, we demonstrate the bipolar resistance switching of silicon nitride thin films using heavily doped Si and Cu as bottom and…
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