2008
DOI: 10.1016/j.tsf.2007.11.035
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Estimation of defect generation probability in thin Si surface damaged layer during plasma processing

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Cited by 12 publications
(26 citation statements)
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“…18,19) Equation (A04) is only valid when the probe beam is weak enough for the approximation to hold. Then A 2 expðV s =k B TÞ can be calculated by considering the P pump dependence of C, from which the change in V s induced by plasma exposure (ÁV s ) can be extracted.…”
Section: Discussionmentioning
confidence: 99%
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“…18,19) Equation (A04) is only valid when the probe beam is weak enough for the approximation to hold. Then A 2 expðV s =k B TÞ can be calculated by considering the P pump dependence of C, from which the change in V s induced by plasma exposure (ÁV s ) can be extracted.…”
Section: Discussionmentioning
confidence: 99%
“…If we fit the spectrum obtained experimentally to Eq. [18][19][20] This is caused by the prevention of the diffusion or drift of photogenerated carriers, due to recombination centers and/or changes in the surface potential. Of these, E g can be used as a measure of strain.…”
Section: Overview Of Prsmentioning
confidence: 99%
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“…The processing time of 30 s was chosen as a saturation value in terms of the damaged-layer formation process according to the previous results. 46,47 Table I shows process conditions employed in this study. RF biasing at 13.56 MHz was applied to the wafer stage 120 mm in diameter with powers ranging from 50 to 200 W in the ICP or with a power of 10 W in the CCP, respectively.…”
Section: Methodsmentioning
confidence: 99%
“…Figure 13 shows the estimated local defect site density from photoreflectance spectra of the test structures damaged by the ICP system (closed squares, on the left axis). By using a modified PRS model for estimation of the density of defect sites (Eriguchi et al, 2008b;, one can determines the areal defect site density (N dam ) as a function of E ion . From this figure, one can observe N dam of the order of 10 12 cm -2 for the present plasma conditions.…”
Section: Density Of Defect Sitesmentioning
confidence: 99%