Journal
MATERIALS
Volume 12, Issue 22, Pages -Publisher
MDPI
DOI: 10.3390/ma12223734
Keywords
memristor; RRAM; variability; time series modeling; autocovariance; graphene oxide; laser
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Funding
- Spanish Ministry of Science, Innovation and Universities [TEC2017-89955-P, TEC2017-84321-C4-3-R, MTM2017-88708-P, PGC2018-098860-B-I00, FPU16/01451]
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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.
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