Process Variation Characterization
Process Variation Characterization is a systematic methodology within MEMS testing that identifies and quantifies deviations in fabrication parameters across production batches to assess their impact on device performance and reliability.
414
Publications
16.3K
Citations
1.5K
Authors
363
Institutions
Publications per year
2017–2026
48
Parents
414
Modeling and analysis of manufacturing variations
Sani Nassif · 2002 · 432 citations
FreePDK: An Open-Source Variation-Aware Design Kit
James E. Stine, Ivan D. Castellanos, Michael Wood et al. · 2007 · 429 citations
Kelin J. Kuhn, M.D. Giles, D. Becher et al. · IEEE Transactions on Electron Devices · 2011 · 365 citations
Engineering, Computer Engineering, Electrical Engineering +17
1–5 of 414
1.5K
14
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12
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9
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7
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IBM Research - Thomas J. Watson Research Center, United States
7 publications · 391 citations
7
h-index
1–5 of 1.5K
363
IBM (United States)
Armonk, United States
19 h-index
79 publications
4.6K citations
IBM Research - Austin
Austin, United States
19 h-index
44 publications
4.2K citations
Massachusetts Institute of Technology
Cambridge, United States
13 h-index
51 publications
2.5K citations
Intel (United States)
Santa Clara, United States
13 h-index
37 publications
5.4K citations
IBM Research - Thomas J. Watson Research Center
Yorktown Heights, United States
12 h-index
28 publications
1.2K citations
University of Michigan
Ann Arbor, United States
12 h-index
27 publications
1K citations
Carnegie Mellon University
Pittsburgh, United States
11 h-index
26 publications
1.2K citations
University of California, Berkeley
Berkeley, United States
10 h-index
30 publications
1.2K citations
1–8 of 363
27 publications · 1.6K citations
20
h-index
18 publications · 545 citations
14
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22 publications · 426 citations
14
h-index
10 publications · 774 citations
10
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10 publications · 391 citations
10
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1–5