R
Ronen Urensky
Researcher at Weizmann Institute of Science
Publications - 3
Citations - 99
Ronen Urensky is an academic researcher from Weizmann Institute of Science. The author has contributed to research in topics: Metrology & Dimensional metrology. The author has an hindex of 3, co-authored 3 publications receiving 95 citations.
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Proceedings ArticleDOI
A holistic metrology approach: hybrid metrology utilizing scatterometry, CD-AFM, and CD-SEM
Alok Vaid,Bin Bin Yan,Yun Tao Jiang,Mark Kelling,Carsten Hartig,John Allgair,Peter Ebersbach,Matthew Sendelbach,Narender Rana,Ahmad D. Katnani,Erin Mclellan,Chas Archie,Cornel Bozdog,Helen Kim,Michael Sendler,Susan Ng,Boris Sherman,Boaz Brill,Igor Turovets,Ronen Urensky +19 more
TL;DR: The Hybrid Metrology approach is defined to be the use of any two or more metrology toolsets in combination to measure the same dataset to optimize metrology recipe and improve measurement performance.
Journal ArticleDOI
Holistic metrology approach: hybrid metrology utilizing scatterometry, critical dimension-atomic force microscope and critical dimension-scanning electron microscope
Alok Vaid,Bin Bin Yan,Yun Tao Jiang,Mark Kelling,Carsten Hartig,John Allgair,Peter Ebersbach,Matthew Sendelbach,Narender Rana,Ahmad D. Katnani,Erin Mclellan,Charles N. Archie,Cornel Bozdog,Helen Kim,Michael Sendler,Susan Ng,Boris Sherman,Boaz Brill,Igor Turovets,Ronen Urensky +19 more
TL;DR: This work defines "hybrid metrology" to be the use of any two or more metrology toolsets in combination to measure the same dataset and demonstrates the benefits of the hybrid metrology on two test structures.
Proceedings ArticleDOI
A holistic metrology approach: multi-channel scatterometry for complex applications
Cornel Bozdog,Hyang Kyun (Helen) Kim,Susan Emans,Boris Sherman,Igor Turovets,Ronen Urensky,Boaz Brill,Alok Vaid,Matthew Sendelbach +8 more
TL;DR: The results show that while individual channels might have increased performance for few individual parameters each - it is the combination of channels that provides the best overall performance for all parameters.