Abstract

Tantalum oxide memristors can switch continuously from a low-conductance semiconducting to a high-conductance metallic state. At the boundary between these two regimes are quantized conductance states, which indicate the formation of a point contact within the oxide characterized by multistable conductance fluctuations and enlarged electronic noise. Here, we observe diverse conductance-dependent noise spectra, including a transition from 1/f2 (activated transport) to 1/f (flicker noise) as a function of the frequency f, and a large peak in the noise amplitude at the conductance quantum GQ=2e2/h, in contrast to suppressed noise at the conductance quantum observed in other systems. We model the stochastic behaviour near the point contact regime using Molecular Dynamics–Langevin simulations and understand the observed frequency-dependent noise behaviour in terms of thermally activated atomic-scale fluctuations that make and break a quantum conductance channel. These results provide insights into switching mechanisms and guidance to device operating ranges for different applications.

Highlights

  • Tantalum oxide memristors can switch continuously from a low-conductance semiconducting to a high-conductance metallic state

  • At low oxygen content (B20% O dissolved in Ta), the channel displays metallic conductivity, whereas at higher oxygen content the channel can display a range of conduction behaviours, including activated semiconducting transport, barrier tunneling and hopping, all characteristic of a Fermi glass[26], which is reminiscent of the behaviour described by the Mooij rule for disordered transition metals[27]

  • The dynamical and stochastic nature of switching in this regime is shown in Fig. 1c, which displays the conductance versus time of a device held at a constant voltage of 50 mV

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Summary

Introduction

Tantalum oxide memristors can switch continuously from a low-conductance semiconducting to a high-conductance metallic state. We model the stochastic behaviour near the point contact regime using Molecular Dynamics–Langevin simulations and understand the observed frequency-dependent noise behaviour in terms of thermally activated atomic-scale fluctuations that make and break a quantum conductance channel. These results provide insights into switching mechanisms and guidance to device operating ranges for different applications. The origin of excess noise is explained in terms of atomic instabilities at the contact These results provide insight into switching mechanisms in memristors, as well as define regions for device operation for different applications

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Results
Conclusion

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