Resistive switching
(RS) devices are emerging electronic components
that could have applications in multiple types of integrated circuits,
including electronic memories, true random number generators, radiofrequency
switches, neuromorphic vision sensors, and artificial neural networks.
The main factor hindering the massive employment of RS devices in
commercial circuits is related to variability and reliability issues,
which are usually evaluated through switching endurance tests. However,
we note that most studies that claimed high endurances >106 cycles were based on resistance versus cycle
plots
that contain very few data points (in many cases even <20), and
which are collected in only one device. We recommend not to use such
a characterization method because it is highly inaccurate and unreliable
(i.e., it cannot reliably demonstrate
that the device effectively switches in every cycle and it ignores
cycle-to-cycle and device-to-device variability). This has created
a blurry vision of the real performance of RS devices and in many
cases has exaggerated their potential. This article proposes and describes
a method for the correct characterization of switching endurance in
RS devices; this method aims to construct endurance plots showing
one data point per cycle and resistive state and combine data from
multiple devices. Adopting this recommended method should result in
more reliable literature in the field of RS technologies, which should
accelerate their integration in commercial products.