2000
DOI: 10.1063/1.126451
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Predictive model for scanned probe oxidation kinetics

Abstract: Previous descriptions of scanned probe oxidation kinetics involved implicit assumptions that one-dimensional, steady-state models apply for arbitrary values of applied voltage and pulse duration. These assumptions have led to inconsistent interpretations regarding the fundamental processes that contribute to control of oxide growth rate. We propose a model that includes a temporal crossover of the system from transient to steady-state growth and a spatial crossover from predominantly vertical to coupled latera… Show more

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Cited by 109 publications
(99 citation statements)
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“…is predominant, but over time a second indirect path of the oxidation occurs 19 in which the charged defects are treated as reaction intermediates. Considering SiC instead of Si, the direct anodic reaction becomes…”
Section: à3mentioning
confidence: 99%
“…is predominant, but over time a second indirect path of the oxidation occurs 19 in which the charged defects are treated as reaction intermediates. Considering SiC instead of Si, the direct anodic reaction becomes…”
Section: à3mentioning
confidence: 99%
“…[16][17][18][19][20] The kinetics of the oxidation process is influenced by the generation of a space charge. [21][22][23] The model by Dagata et al 21,24 considers two competing mechanisms, a fast oxidation process that applies to the initial stages ͑below 1 s͒ and a slower, indirect process that applies for longer oxidation times and involves space charge. Dubois and Bubendorff's model is based on a charge trapping-detrapping mechanism.…”
mentioning
confidence: 99%
“…Since the molecular volume of the Hf oxide layer is larger than that of Hf itself, the expansion of oxide volume causes stress along the growth direction in a limited local space at the Hf/HfO x interface, thus pushing the HfO x layer upwards to form a protrusion. The higher oxide protrusion lowers the electric field between the tip and the surface, resulting in a decrease in the oxide growth rate due to an accumulation of dielectric material and ionic space charges trapped near the substrate/oxide interface [17,18]. Figure 4(a) shows the two-dimensional AFM surface topography after anodic nano-oxidation lithography, and figure 4(b) demonstrates the profile of the created oxide lines with respect to applied bias voltages up to 10 V at 75% relative humidity.…”
Section: Resultsmentioning
confidence: 99%
“…Several phenomenological models, such as the empirical power law [17,18], the logarithmic function of the applied voltage duration [19] and the inverse exponential growth (IEG) function [20,21] using the potential distribution in the oxide layer. This study shows that SPL grown HfO x data were best fitted to the IEG model, which defines the oxide thickness with the following equations:…”
Section: Resultsmentioning
confidence: 99%