Abstract

This work investigates the sources of resistive switching (RS) in recently reported laser-fabricated graphene oxide memristors by means of two numerical analysis tools linked to the Time Series Statistical Analysis and the use of the Quantum Point Contact Conduction model. The application of both numerical procedures points to the existence of a filament connecting the electrodes that may be interrupted at a precise point within the conductive path, resulting in resistive switching phenomena. These results support the existing model attributing the memristance of laser-fabricated graphene oxide memristors to the modification of a conductive path stoichiometry inside the graphene oxide.

Highlights

  • A Time Series and Quantum Point ContactPervasive Electronics Advanced Research Laboratory, University of Granada, 18071 Granada, Spain

  • Memristors have shown great potential in the context of neuromorphic circuits

  • From a more general perspective, the outstanding features of memristors make them suitable for applications that run through non-volatile memories, Internet of Things (IoT) devices, 5G, etc

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Summary

A Time Series and Quantum Point Contact

Pervasive Electronics Advanced Research Laboratory, University of Granada, 18071 Granada, Spain. Received: 17 September 2019; Accepted: 10 November 2019; Published: 13 November 2019

Introduction
Device Fabrication and Measurement
Schematic
Quantum Point Contact Modeled Conduction
Conclusions
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