Resistive switching (RS) based on the formation and rupture of conductive filament (CF) is promising in novel memory and logic device applications. Understanding the physics of RS and the nature of CF is of utmost importance to control the performance, variability and reliability of resistive switching memory (RRAM). Here, the RESET switching of HfO₂-based RRAM was statistically investigated in terms of the CF conductance evolution. The RESET usually combines an abrupt conductance drop with a progressive phase ending with the complete CF rupture. RESET1 and RESET2 events, corresponding to the initial and final phase of RESET, are found to be controlled by the voltage and power in the CF, respectively. A Monte Carlo simulator based on the thermal dissolution model of unipolar RESET reproduces all of the experimental observations. The results contribute to an improved physics-based understanding on the switching mechanisms and provide additional support to the thermal dissolution model.

In this work, the impact of Ti electrodes on the electrical behaviour of HfO ₂ -based RRAM devices is conclusively clarified. To this aim, devices with Pt, TiN and Ti electrodes have been fabricated (see Fig. 1). We first provide several experiments to clearly demonstrate that switching is driven by creation-disruption of a conductive filament. Thus, the role of TiN/Ti electrodes is explained and modeled based on the presence of HfO _x interfacial layer underneath the electrode. In addition, Ti is found responsible to activate bipolar switching. Moreover, it strongly reduces forming and switching voltages with respect to Pt-Pt devices. Finally, it positively impacts on retention. To support and interpret our results we provide physico-chemical measurements, electrical characterization, ab-initio calculations and modeling.

Both CMOS scaling and NEMS sensor devices scaling converge to the same type of sub 100 nm objects. This opens new fields of application for IC chips integrating both complex signal treatment and very highly sensitive sensing functionalities.