2012 International Electron Devices Meeting 2012
DOI: 10.1109/iedm.2012.6479012
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RRAM SET speed-disturb dilemma and rapid statistical prediction methodology

Abstract: This paper presents a first comprehensive study of SET speed-disturb dilemma in RRAM using statistically-based prediction methodologies. A rapid ramped-voltage stress based on percolation model and power-law V-t dependence showed excellent agreement with the time-consuming constant-voltage stress, and was applied to evaluate current status of RRAM devices in the literature.

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Cited by 22 publications
(14 citation statements)
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“…The coefficient of variation ( σ / μ ) of R on decreases from 52.2% in Figure 1 f to 23.4% in Figure 1 h. Moreover, σ / μ of R off has also improved from 30.6% to 11.1%. The Weibull distribution is widely used in reliability forecast and evaluation [ 13 - 18 ]. The Weibull distribution is described by F = 1 − exp[−( x / x 63% ) β ], where the parameter x 63% is the scale factor which is the value of the statistical variable at F ≈ 63%, β is the shape factor or Weibull slope which represents the statistical dispersion.…”
Section: Resultsmentioning
confidence: 99%
“…The coefficient of variation ( σ / μ ) of R on decreases from 52.2% in Figure 1 f to 23.4% in Figure 1 h. Moreover, σ / μ of R off has also improved from 30.6% to 11.1%. The Weibull distribution is widely used in reliability forecast and evaluation [ 13 - 18 ]. The Weibull distribution is described by F = 1 − exp[−( x / x 63% ) β ], where the parameter x 63% is the scale factor which is the value of the statistical variable at F ≈ 63%, β is the shape factor or Weibull slope which represents the statistical dispersion.…”
Section: Resultsmentioning
confidence: 99%
“…Forming process in ReRAM cells can be often compared with SiO 2 soft breakdown in MOS structures. 3,[29][30][31] The breakdown follows the weakest link theory based on a percolation model, where percolation paths thorough SiO 2 thin films are formed by defects due to electrical stress. [32][33][34] Because the defects are randomly distributed according to Poisson statistics, the cumulative breakdown probability F is described as follows 31,35 :…”
Section: B Rs Modelmentioning
confidence: 99%
“…The reduced impact from individual defect of non-filamentary switching leads to much smaller resistance variability and read instability in unstressed a-VMCO device [31]. The large read instability induced by defect generation and percolation path formation in severely stressed devices could be improved by further material and structure optimization, especially around the interfacial layer region [32][33][34][35][36]. This work provides insightful guidance for further process and device structure optimization of a-VMCO device.…”
Section: Generated Defects and Percolation Path In 2 Nd Cvs Stagementioning
confidence: 85%