Atomistic mechanisms of copper filament formation and composition in Al2O3-based conductive bridge random access memory

Conductive filament formation and composition in Oxide-based Conductive Bridge Random Access Memory (CBRAM) are investigated. To this end, Al2O3/Cu-based CBRAM is electrically characterized and studied. Current-voltage characteristics exhibit different forming behaviors depending on device polarization exposing the charged species involved during the forming process. In order to get more insights at the microscopic level, ion diffusion is investigated in depth by first-principles calculations. We study different point defects in Al2O3 which can come either from the post-process of the material itself or after top electrode deposition or during device operation. Since the role of Oxygen Vacancies (VO) and Copper (Cu) ions is core to the switching mechanism, ab initio calculations focus on their displacements. For different charge states in Al2O3, we extract the thermodynamic and activation energies of Cu, Te, Al, and O related point defects. The results reveal that Cu is not the only ion diffusing in the A...

[1]  G. Gutiérrez,et al.  Electronic properties of bulk γ − Al 2 O 3 , 2005 .

[2]  E. Vianello,et al.  HfO2-Based RRAM: Electrode Effects, Ti/HfO2 Interface, Charge Injection, and Oxygen (O) Defects Diffusion Through Experiment and Ab Initio Calculations , 2016, IEEE Transactions on Electron Devices.

[3]  G. Kresse,et al.  First-principles calculations for point defects in solids , 2014 .

[4]  L. Goux,et al.  Modeling of Copper Diffusion in Amorphous Aluminum Oxide in CBRAM Memory Stack , 2012 .

[5]  S. Menzel,et al.  Physics of the Switching Kinetics in Resistive Memories , 2015 .

[6]  D. Jeong,et al.  Emerging memories: resistive switching mechanisms and current status , 2012, Reports on progress in physics. Physical Society.

[7]  Martins,et al.  Efficient pseudopotentials for plane-wave calculations. , 1991, Physical review. B, Condensed matter.

[8]  Wilfried Vandervorst,et al.  Three-dimensional observation of the conductive filament in nanoscaled resistive memory devices. , 2014, Nano letters.

[9]  J. Robertson,et al.  Nature of Cu Interstitials in Al2O3 and the Implications for Filament Formation in Conductive Bridge Random Access Memory Devices , 2016 .

[10]  H. Grampeix,et al.  On the mechanisms of cation injection in conducting bridge memories: The case of HfO2 in contact with noble metal anodes (Au, Cu, Ag) , 2016 .

[11]  Deepak Kamalanathan,et al.  Subquantum conductive-bridge memory , 2016 .

[12]  R. Dittmann,et al.  Redox‐Based Resistive Switching Memories – Nanoionic Mechanisms, Prospects, and Challenges , 2009, Advanced materials.

[13]  G. Delgado,et al.  Structural refinement of the ternary chalcogenide compound Cu2GeTe3 by X‐ray powder diffraction , 2004 .

[14]  W. Kohn,et al.  Self-Consistent Equations Including Exchange and Correlation Effects , 1965 .

[15]  P. Hohenberg,et al.  Inhomogeneous Electron Gas , 1964 .

[16]  J. McPherson,et al.  Trends in the ultimate breakdown strength of high dielectric-constant materials , 2003 .