SIGN IN
SIGN UP
Predicting variability in nanoscale lithography processes
Full Text:
PDF
Buy this Article
Authors:
Dragoljub Gagi Drmanac
University of California, Santa Barbara
Frank Liu
IBM, Austin Research Lab
Li-C. Wang
University of California, Santa Barbara
Published in:
· Proceeding
DAC '09
Proceedings of the 46th Annual Design Automation Conference
ACM
New York, NY
, USA
©2009
table of contents
ISBN: 978-1-60558-497-3
doi>
10.1145/1629911.1630053
2009 Article
Bibliometrics
· Downloads (6 Weeks): 4
· Downloads (12 Months): 26
· Citation Count: 3
Tools and Resources
Buy this Article
Request Permissions
TOC Service:
Email
RSS
Save to Binder
Export Formats:
BibTeX
EndNote
ACM Ref
Upcoming Conference:
DAC '12
Share:
|
Tags:
algorithms
design aids
feature measurement
kernel methods
machine learning
modeling variability
performance
photo lithography
process variation
reliability
verification
Feedback
|
Switch to
single page view
(no tabs)
**Javascript is not enabled and is required for the "tabbed view" or switch to the
single page view
**
Powered by
The ACM Guide to Computing Literature
All Tags
Export Formats
Save to Binder