Dr. Wenyu Xu Profile

Dr. Wenyu Xu

at IBM Thomas J Watson Research Ctr

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Proceedings Article | 25 March 2020 Presentation

A comparative analysis of EUV sheet and gate patterning for beyond 7nm gate all around stacked nanosheet FET’s (Conference Presentation)

Indira Seshadri, Praveen Joseph, Stuart Sieg, Tao Li, Wenyu Xu, Eric Miller, Dan Dechene, Andrew Greene, Carl Radens, Jingyun Zhang, Yann Mignot, Pietro Montanini, Mary Breton, Veeraraghavan Basker, Nelson Felix

Proceedings Volume 11328, 113280B (2020) https://doi.org/10.1117/12.2552159

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Gate all around stacked nanosheet FET’s have emerged as the next technology to FinFET’s for beyond 7-nm scaling. With EUV technology integrated into manufacturing at 7nm, there is great interest to enable EUV direct print patterning for nanosheet patterning as a replacement to complex double patterning schemes. While front-up sheet pitches and gate pitches expected for the beyond 7nm node fall well within the EUV direct print regime (>40nm), it is unclear if direct print solutions can meet variation requirements at technology minimum sheet widths and gate lengths. Here, we explore the crossover point between direct print EUV and optical/EUV based double patterning processes for sheets and gates in the 40 – 50 nm sheet pitch/CPP regime. We demonstrate that to enable the minimum sheet widths of <20nm required for the technology, direct bright field print with shrink results in high variability. We develop a tone invert process with darkfield sheet print that utilizes a polymerizing etch to reduce variability and achieve sub-20nm sheet widths with reduced variability, comparable to a self-aligned double patterning (SADP) process. With gate length variation requirements being tighter, we show that SADP still yields a considerable improvement in line edge/width roughness over a direct print process. We project EUV technology into the future to quantify improvements that would enable direct printed gates that match SADP. Our results will provide a guideline to down-select patterning processes for the nanosheet front end while optimizing cost and complexity.

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