2002
DOI: 10.1117/12.477012
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Progressive self-learning photomask defect classification

Abstract: Following mask inspection, mask-defect classification is a process of reviewing and classifying each captured defect according to prior-defined printability rules. With the current hardware configuration in manufacturing environments, this review and classification process is a mandatory manual task. For cases with a relatively small number of captured defects, defect classification itself does not put too much burden to operators or engineers. With a moderate increase of defects, it would, however, become a t… Show more

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“…A negative resist is suitable for active and poly layers. 4. Better e-beam data writing priority and speed control Two steps can improve throughput.…”
Section: Simplify the Opc And/or Psm Mask Data Treatmentsmentioning
confidence: 99%
See 1 more Smart Citation
“…A negative resist is suitable for active and poly layers. 4. Better e-beam data writing priority and speed control Two steps can improve throughput.…”
Section: Simplify the Opc And/or Psm Mask Data Treatmentsmentioning
confidence: 99%
“…(4) Processing: The baker, developer, etcher, stripper and metrology tool are all involved in the mask fabrication. The improvement of each individual tool is essential to achieve the rigorous specification of the next-generation mask.…”
Section: Introductionmentioning
confidence: 99%