Frank E. Abboud
Intel
34 Papers
157 Citations
Frank E. Abboud is an academic researcher from Intel. The author has contributed to research in topics: Resist & Photomask. The author has an hindex of 7, co-authored 32 publications. Previous affiliations of Frank E. Abboud include Applied Materials.
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Papers
Mask data processing in the era of multibeam writers
Frank E. Abboud,Michael Asturias,Maesh Chandramouli,Yoshihiro Tezuka +3 more
- 21 Oct 2014
TL;DR: The unprecedented extension of optical lithography and the myriad of Resolution Enhancement Techniques have tasked current mask writers with ever increasing shot count and higher dose, and therefore, increasing write time, so the need for a transition to a new type of mask writer based on massively parallel architecture is seen.
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Future mask writers requirements for the sub-10nm node era
Mahesh Chandramouli,Frank E. Abboud,Nathan Wilcox,Andrew T. Sowers,Damon M. Cole +4 more
- 08 Nov 2012
TL;DR: The need for revolutionary architectures to satisfy future mask patterning will be explored, and proposed evolutionary extensions of the current architecture will be evaluated.
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EUV mask infrastructure and actinic pattern mask inspection
Ted Liang,Yoshihiro Tezuka,Marieke Jager,Kishore K. Chakravorty,Safak Sayan,Eric Frendberg,Srinath Satyanarayana,Firoz Ghadiali,Guojing Zhang,Frank E. Abboud +9 more
- 23 Mar 2020
TL;DR: This paper demonstrates that actinic inspection provides defect detection capability beyond the traditional DUV optical and e-beam mask inspection (EBMI) tools for defect control and the guaranty of mask quality.
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Patent
Low stress pellicle frames and reticle pellicle assemblies
Kishore K. Chakravorty,Frank E. Abboud,Henry Yun +2 more
- 31 Mar 2008
TL;DR: In this article, a pellicle frame of reduced stiffness is employed to reduce the stress induced by a reticle assembly in order to reduce cumulative stresses in an assembly comprising the reticle plate, pellicles and a stress compensating frame.
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Evaluation of OPC mask printing with a raster scan pattern generator
Tom Newman,Jan M. Chabala,B.J. Marleau,Frederick Raymond,Olivier Toublan,Mark A. Gesley,Frank E. Abboud +6 more
- 15 Jul 2002
TL;DR: Examination of the theoretical performance of Raster Graybeam for model-based optical proximity correction (OPC) patterns and examples of mask patterning performance finds that it produces aerial image quality equivalent to the convolution of the input pattern data with a Gaussian point spread function.
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