journal article·2016-08-01Open access

Scalability of valence change memory: From devices to tip-induced filaments

U. Celano, A. Fantini, R. Degraeve, M. Jurczak, L. Goux, W. Vandervorst

AIP Advances· Volume 6· Issue 8

Abstract

Since the early days of the investigation on resistive switching (RS), the independence of the ON-state resistance with actual cell area has been a trademark of filamentary-switching. However, with the continuous downscaling of the memory cell down to 10 x 10 nm2 and below, the persistence of this phenomena raises intriguing questions on the conductive filaments (CFs) and its dimensions. Particularly, the cell functionality demonstrated at relatively high switching current (> 100 μA) implies a high current density (> 106 A/cm2) inside a CF supposedly confined in few hundreds on nm3. We previously demonstrated a methodology for the direct observation of CFs in integrated devices namely scalpel SPM, which overcomes most of the characterization challenges imposed by the device structure and the small CF lateral dimensions. In this letter, we use scalpel SPM to clarify the scaling potential of HfO2-based valence change memory (VCM) by characterization of CFs programmed at relatively high switching current and by AFM tip-induced RS experiments. Besides the demonstration of a remarkable scaling potential for the VCM technology, our results are also used to clarify the present understanding on the AFM-based experiments.
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Research context

OpenAlex topics: Advanced Memory and Neural Computing · Ferroelectric and Negative Capacitance Devices · Neuroscience and Neural Engineering

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

IMEC 1 , Kapeldreef 75, B-3001 Heverlee (Leuven), Belgium

KU Leuven 2 , Department of Physics and Astronomy (IKS), Celestijnenlaan 200D, 3001 Leuven, Belgium

References (26)

Show source-provided references
1. Metal–Oxide RRAM10.1109/JPROC.2012.2190369 ↗
2. Memristive devices for computing10.1038/nnano.2012.240 ↗
3. B. Govoreanu et al., “10x10nm 2 Hf / HfO x Crossbar Resistive RAM with Excellent Performance, Reliability and Low-Energy Operation,” IEDM Tech. Dig., 2011, pp. 31.6.1–31.6.4.10.1109/IEDM.2011.6131652 ↗
4. Thickness effect of ultra-thin Ta2O5 resistance switching layer in 28 nm-diameter memory cell10.1038/srep15965 ↗
5. High-Speed and Low-Energy Nitride Memristors10.1002/adfm.201600680 ↗
6. Nanofilamentary resistive switching in binary oxide system; a review on the present status and outlook10.1088/0957-4484/22/25/254002 ↗
7. Anatomy of a Nanoscale Conduction Channel Reveals the Mechanism of a High-Performance Memristor10.1002/adma.201103379 ↗
8. Imaging the Three-Dimensional Conductive Channel in Filamentary-Based Oxide Resistive Switching Memory10.1021/acs.nanolett.5b03078 ↗
9. Nanoionics-based resistive switching memories10.1038/nmat2023 ↗
10. R. Degraeve et al., “Generic learning of TDDB applied to RRAM for improved understanding of conduction and switching mechanism through multiple filaments,” IEDM Tech. Dig. IEEE Int. Electron Devices Meet. (2010), pp. 632–635.10.1109/IEDM.2010.5703438 ↗
11. Cross point arrays of 8 nm × 8 nm memristive devices fabricated with nanoimprint lithography10.1116/1.4827021 ↗
12. Nanometer-Scale HfO x RRAM. · 2013 · 34 · 1005
13. U. Celano et al., “Conductive-AFM tomography for 3D filament observation in resistive switching devices,” IEDM Tech. Dig. (2013), pp. 21.6.1–21.6.4, doi:10.1109/IEDM.2013.6724679.10.1109/IEDM.2013.672467910.1109/IEDM.2013.6724679 ↗
14. U. Celano et al., “Progressive vs. abrupt reset behavior in conductive bridging devices: A C-AFM tomography study,” IEDM Tech. Dig. (IEEE, 2014), pp. 14.1.1–14.1.4, doi:10.1109/IEDM.2014.7047048.10.1109/IEDM.2014.7047048
15. RRAMs based on anionic and cationic switching: a short overview10.1002/pssr.201409054 ↗
16. Conductive diamond tips with sub-nanometer electrical resolution for characterization of nanoelectronics device structures10.1002/pssa.200982212 ↗
17. Sub-10 nm low current resistive switching behavior in hafnium oxide stack10.1063/1.4944841 ↗
18. Switching mechanism and reverse engineering of low-power Cu-based resistive switching devices10.1039/c3nr03579d ↗
19. Resistive switching in hafnium dioxide layers: Local phenomenon at grain boundaries10.1063/1.4765342 ↗
20. Multimode Resistive Switching in Single ZnO Nanoisland System10.1038/srep02405 ↗
21. Observation of conductance quantization in oxide-based resistive switching memory10.1002/adma.201201506 ↗
22. Realization of regular arrays of nanoscale resistive switching blocks in thin films of Nb-doped SrTiO[sub 3]10.1063/1.2959074 ↗
23. Resistive switching memory: observations with scanning probe microscopy10.1039/C0NR00580K ↗
24. Evaluation of the electrical contact area in contact-mode scanning probe microscopy10.1063/1.4921878 ↗
25. Threshold Switching and Conductance Quantization in Al / HfO2 / Si ( p ) Structures
26. Model for the Resistive Switching Effect in HfO 2 MIM Structures Based on the Transmission Properties of Narrow Constrictions10.1109/LED.2010.2046310 ↗