As chip makers move to advanced nodes and device geometries shrink, design and production costs have risen rapidly. As a result, it has become increasingly critical to reduce costs in established technology nodes by increasing device yield. For a given process, differences in individual process chambers can lead to process variations that may have a large impact on both overlay control and yield management. Chamber distortion control represents an effective way to detect wafer- and lot-level process variation and excursions by monitoring the process-induced in-plane displacement contribution to overlay. A novel technique for measuring distortion is Coherent Gradient Sensing (CGS) interferometry, which is capable of generating a high-density, full-wafer distortion data set with throughput suitable for a high volume manufacturing (HVM) environment. This paper represents a collaborative effort between United Microelectronics Corp. (UMC) and Ultratech Inc. to evaluate the application of this technology in an HVM logic foundry. Currently, furnace-based thermal processes are key steps that cause out of control wafer distortion if the process variation is not monitored. This paper demonstrates that CGS technology can successfully identify chamber displacement variability and that statistical process control (SPC) using factory automation (FA) fully automates the detection of such excursions for use in an HVM environment.
[1]
David M. Owen,et al.
Application of CGS stress metrology to advanced process control & monitoring
,
2011,
2011 IEEE/SEMI Advanced Semiconductor Manufacturing Conference.
[2]
David M. Owen.
Stress inspection for overlay characterization
,
2013,
Advanced Lithography.
[3]
A. Rosakis,et al.
Full field measurements of curvature using coherent gradient sensing: application to thin film characterization
,
1998
.
[4]
David Laidler,et al.
Wafer-shape based in-plane distortion predictions using superfast 4G metrology
,
2017,
Advanced Lithography.
[5]
Frida Liang,et al.
Wafer-shape metrics based foundry lithography
,
2017,
Advanced Lithography.
[6]
Doug Anberg,et al.
A study of feed-forward strategies for overlay control in lithography processes using CGS technology
,
2015,
2015 26th Annual SEMI Advanced Semiconductor Manufacturing Conference (ASMC).