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Proceedings Paper

Towards an integrated line edge roughness understanding: metrology, characterization, and plasma etching transfer
Author(s): Evangelos Gogolides; Vassilios Constantoudis; George Kokkoris
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Paper Abstract

Line Edge Roughness (LER) is of great concern in all new generation lithographies and plays a significant role in the evaluation of the future materials and processes. However, LER studies are not limited to lithography. Metrology, device physics and recently plasma etching technology investigate complementary aspects of LER in their own terms and using their own methodologies. This means that LER is actually a multifaceted issue and its understanding and control demands an effective cooperation and integration of all the involved areas and approaches. To this end, in this paper we discuss first the importance of an advanced LER characterization methodology to bring together the lithographic approach to LER and its impact on device performance. Then, we introduce a background modeling for the pattern transfer effects on LER during plasma etching which reveals the critical role of resist LER on the quality of the printed to the substrate line after plasma etching in harmony with experimental results. The overall conclusion seems to be that the advanced characterization of the whole aspects of LER strengthens the links between lithographic LER, its transfer to the substrate after plasma etching and its effects on device operation.

Paper Details

Date Published: 29 March 2013
PDF: 16 pages
Proc. SPIE 8685, Advanced Etch Technology for Nanopatterning II, 868505 (29 March 2013); doi: 10.1117/12.2013918
Show Author Affiliations
Evangelos Gogolides, National Ctr. for Scientific Research Demokritos (Greece)
Vassilios Constantoudis, National Ctr. for Scientific Research Demokritos (Greece)
George Kokkoris, National Ctr. for Scientific Research Demokritos (Greece)

Published in SPIE Proceedings Vol. 8685:
Advanced Etch Technology for Nanopatterning II
Ying Zhang; Gottlieb S. Oehrlein; Qinghuang Lin, Editor(s)

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