Paper
13 October 2011 EUV mask absorber and multi-layer defect disposition techniques using computational lithography
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Abstract
Many efforts in EUV are currently focused on detecting and reducing defects on blanks and patterned masks. Bumps and pits found on blank substrates are particularly of concern since these effectively cause phase change and often print severely under EUV conditions. With the current inspection of EUV blanks and patterned masks being primarily highresolution DUV or e-beam based, it becomes very challenging to assess the impact of the detected defects. Even with the realization of EUV AIMSTM, expected in 2014, the nature of the buried multi-layer defect in terms of its location, size, shape, and profile will always be uncertain. In this paper, we have demonstrated several techniques that can be used for EUV defect disposition both in short- and long-term. These techniques include use of SEM images for absorber-defect disposition, and AFM images for determining the printability of buried defects. In the case of absorber defects, the SEM image of the defect is processed through a novel contour-extraction algorithm which accurately extracts the contours of the defective and generates the contour of the reference patterns. The mask contours are then simulated in Luminescent's EUV Defect Printability Simulator (DPS), a fast and accurate EUV simulator, and the EUV aerial images subsequently analyzed in the Aerial Image Analyzer (AIA). For buried defects, models characterizing the growth of the multi-layer defect from substrate and multi-layer to the surface have been developed and can be calibrated in several ways, including using cross-sectional TEM profiles of buried defects. Using the calibrated buried defect growth model then, and the surface profile of the buried defect as indicated in the SEM and AFM images, the exact nature of the buried defect is "recovered". Knowing the profile of the buried pit or bump defect through the multi-layer then allows estimation of its printability impact in DPS. Furthermore, this also enables computing changes that could be then made to the absorber pattern in order to compensate for the buried defect printability, i.e., in Luminescent's Multi-layer Defect Compensation (MDC). This technique of inverting to the shape and height of the buried defect can also be refined later once EUV aerial images are available. While defectivity on EUV masks is currently the #1 concern in its high-volume adoption, disposition of the detected defects to EUV conditions is also very crucial. The proposed disposition techniques using Computation Lithography can be used in combination with print-tests to make the overall EUV mask defect handling flow manufacturable.
© (2011) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Vikram Tolani, Masaki Satake, Peter Hu, Danping Peng, Ying Li, David Kim, and Linyong Pang "EUV mask absorber and multi-layer defect disposition techniques using computational lithography", Proc. SPIE 8166, Photomask Technology 2011, 81660J (13 October 2011); https://doi.org/10.1117/12.896981
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Cited by 3 scholarly publications.
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KEYWORDS
Extreme ultraviolet

Photomasks

Calibration

Scanning electron microscopy

Inspection

Image processing

Defect detection

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