Tuning the memristive response of TaO$_x$-based devices with Ag Nanoparticles
R. Leal Martir, A.J.T. van der Ree, M. H. Aguirre, G. Palasantzas, D. Rubi, and M. J. S\'anchez

TL;DR
This study demonstrates that embedding Ag nanoparticles in TaO$_x$ memristors effectively tunes their resistive switching behavior, reduces variability, and enhances stability by controlling interface dynamics without altering the oxide structure.
Contribution
It introduces a novel approach of using Ag nanoparticles for defect engineering to control and improve memristor switching stability and reproducibility.
Findings
AgNPs suppress one hysteresis loop, resulting in a single switching mode.
Devices with AgNPs show reduced cycle-to-cycle variability and improved endurance.
Numerical models accurately reproduce experimental behavior with AgNPs coverage.
Abstract
Defect engineering is a key strategy to control resistive switching (RS) in oxide-based memristive devices, where oxygen vacancy (OV) dynamics governs filament formation and rupture. We investigate the effect of Ag nanoparticles (AgNPs) embedded in the top electrode of Pt/Ta2O5/TaO2/Pt memristors and analyze their RS behavior and statistical stability. Devices without AgNPs exhibit two hysteresis switching loops (HSLs) with opposite chiralities, originating from the participation of the Pt/Ta2O5 top interface and the Ta2O5/TaO2 bottom interface. Incorporating AgNPs reduces the overall device resistance and selectively suppresses one loop, yielding a single, well-defined switching mode. Moreover, devices incorporating Ag-NPs show markedly reduced cycle-to-cycle variability of the high-resistance state, as confirmed by Weibull analysis, indicating improved endurance and switching…
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Taxonomy
TopicsAdvanced Memory and Neural Computing · Transition Metal Oxide Nanomaterials · Ferroelectric and Negative Capacitance Devices
