2003
DOI: 10.1117/12.482344
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Implementing flare compensation for EUV masks through localized mask CD resizing

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Cited by 31 publications
(18 citation statements)
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“…It results from surface roughness, especially MSFR, and is inversely proportional to the square of the wavelength [64]. EUV flare can be predicted based on the surface roughness of the individual mirrors and can be corrected in the mask design [64,65]. The EUVL exposure tool flare target is in a range of within 8%, which corresponds to a projected optic MSFR level of 0.14 nm rms [14].…”
Section: Opticsmentioning
confidence: 99%
“…It results from surface roughness, especially MSFR, and is inversely proportional to the square of the wavelength [64]. EUV flare can be predicted based on the surface roughness of the individual mirrors and can be corrected in the mask design [64,65]. The EUVL exposure tool flare target is in a range of within 8%, which corresponds to a projected optic MSFR level of 0.14 nm rms [14].…”
Section: Opticsmentioning
confidence: 99%
“…For EUV where flare varies over small distances, flare variation was modeled by varying the local pattern density. 13 Flare variation effects on CD control are included in the calculated value of σ image . The simulations for EUV were carried out over a finite 2% FWHM temporal bandwidth with a Gaussian-shaped spectral distribution.…”
Section: Calculation Of σ Imagementioning
confidence: 99%
“…[1][2][3][4][5][6][7][8][9] The range of influence of flare in EUV is extremely broad ͑millimeters or more͒, thus implying that an effective full-chip compensation strategy is needed to be able to satisfy the requirements for the 32-nm node and beyond. 4,5 At the core of any strategy for flare correction is the ability to accurately and effectively calculate the local flare levels across the chip design, producing what is commonly known as a flare map.…”
Section: Introductionmentioning
confidence: 99%