Abstract
The resistive random-access memory (RRAM) device concept is close to enabling the development of a new generation of non-volatile memories, provided that their reliability issues are properly understood. The design of a RRAM operating with extrinsic defects based on metallic inclusions, also called conductive bridge RAM, allows the use of a large spectrum of solid electrolytes. However, when scaled to device dimensions that meet the requirements of the latest technological nodes, the discrete nature of the atomic structure of the materials impacts the device operation. Using density functional theory simulations, we evaluated the migration kinetics of Cu conducting species in amorphous \(\hbox {AlO}_{\mathrm{x}}\) and \(\hbox {WO}_{\mathrm{x}}\) solid electrolyte materials, and established that atomic disorder leads to a large variability in terms of defect stability and kinetic barriers. This variability has a significant impact on the filament resistance and its dynamics, as evidenced during the formation step of the resistive filament. Also, the atomic configuration of the formed filament can age/relax to another metastable atomic configuration, and lead to a modulation of the resistivity of the filament. All these observations are qualitatively explained on the basis of the computed statistical distributions of the defect stability and on the kinetic barriers encountered in RRAM materials.
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This work was carried out in the framework of the imec Core CMOS—Emerging Memory Program.
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Clima, S., Belmonte, A., Degraeve, R. et al. Kinetic and thermodynamic heterogeneity: an intrinsic source of variability in Cu-based RRAM memories. J Comput Electron 16, 1011–1016 (2017). https://doi.org/10.1007/s10825-017-1042-3
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DOI: https://doi.org/10.1007/s10825-017-1042-3