2015
DOI: 10.1117/12.2087559
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Understanding of stochastic noise

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Cited by 8 publications
(6 citation statements)
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“…The stochastic shot noise such as LWR can be modelling using statistical theories and techniques [13,14]. Modeling LWR allows us to estimate local imaging CDU and total imaging CDU before wafer exposures and measurements.…”
Section: Ler Modelingmentioning
confidence: 99%
“…The stochastic shot noise such as LWR can be modelling using statistical theories and techniques [13,14]. Modeling LWR allows us to estimate local imaging CDU and total imaging CDU before wafer exposures and measurements.…”
Section: Ler Modelingmentioning
confidence: 99%
“…As device dimensions continue to shrink with EUV lithography, stochastic noise is getting more and more serious such that lots of works [7][8][9][10][11][12][13] about LCDU and/or LWR have been presented in order to model and/or mitigate their impact on device performance. The basis of many of the LWR/LCDU models [9,[11][12][13] is to translate the dose fluctuation to edge placement variation based on quantum statistics. However, different definitions of effective area element finally lead to model variants of different forms.…”
Section: Derivation Of Lcdu Model For Euv Contact Holesmentioning
confidence: 99%
“…Based on the threshold resist model, for a feature exposed at a given focal plane, the correlation between the exposure dose and the aerial image intensity threshold can be described by the following formula [9,11]:…”
Section: Derivation Of Lcdu Model For Euv Contact Holesmentioning
confidence: 99%
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“…With the shortening of exposure wavelength, the photon energy increases from 5eV at 248nm wavelength to 6eV at 193nm wavelength and then to 92.5eV at 13.5nm wavelength and low dose of high-energy photons causes the number of photons to fall low enough to cause the statistical variations [5]. This photon randomness leads to random deprotection reactions of protecting groups in chemically amplified resist and inevitably will cause the line width roughness (LWR) to increase beyond an acceptable limit.…”
Section: Stochastic Effectsmentioning
confidence: 99%