downloadGroupGroupnoun_press release_995423_000000 copyGroupnoun_Feed_96767_000000Group 19noun_pictures_1817522_000000Member company iconResource item iconStore item iconGroup 19Group 19noun_Photo_2085192_000000 Copynoun_presentation_2096081_000000Group 19Group Copy 7noun_webinar_692730_000000Path
Skip to main content

Session 15

Advanced Process Control 2

Session Co-Chairs: Agnès Roussy, Zhixing Li

This session discusses process control schemes utilizing advanced data analytics, computational algorithms and statistical methods to improve wafer process steps, yield and cost.

Wednesday, May 15, 2024

3:25PM ET
15.1 Dynamic Time Warping Constraints for Semiconductor Processing
 R. Owens, F. Sun, D. Boning, Massachusetts Institute of Technology; C. Venditti, D. Blake, J. Dillon, Analog Devices


15.2 Optimizing High-Product-Mix Manufacturing with Advanced Process Control Through Machine Learning-Based Virtual Metrology
 H. J. Lee, S. Jayaram, S. Choi, N. Greeneltch, Siemens EDA

 

15.3 Using Bert Pre-Trained Image Transformers to Identify Potential Parametric Wafer Map Defects
 E. Jen, Y. Ting, CH Jan, L. Huang, C. Lin, M. Wu, A. Feng, C. Wen, H. W. Chen, J. Yeh, C. Lai, B. Chen, MediaTek

 

15.4 Unsupervised Trace-SPC Anomaly Detection Solution Based on VAE Model
X. Wang, H. Jiang, Semitronix Corporation



Return to ASMC