The semiconductor industry makes dramatic device technology changes over short time periods. As the semiconductor industry advances towards to the 10 nm device node, more precise management and control of processing tools has become a significant manufacturing challenge. Some processes require multiple tool sets and some tools have multiple chambers for mass production. Tool and chamber matching has become a critical consideration for meeting today’s manufacturing requirements. Additionally, process tools and chamber conditions have to be monitored to ensure uniform process performance across the tool and chamber fleet. There are many parameters for managing and monitoring tools and chambers. Particle defect monitoring is a well-known and established example where defect inspection tools can directly detect particles on the wafer surface. However, leading edge processes are driving the need to also monitor invisible defects, i.e. stress, contamination, etc., because some device failures cannot be directly correlated with traditional visualized defect maps or other known sources. Some failure maps show the same signatures as stress or contamination maps, which implies correlation to device performance or yield. In this paper we present process tool monitoring and matching using an interferometry technique. There are many types of interferometry techniques used for various process monitoring applications. We use a Coherent Gradient Sensing (CGS) interferometer which is self-referencing and enables high throughput measurements. Using this technique, we can quickly measure the topography of an entire wafer surface and obtain stress and displacement data from the topography measurement. For improved tool and chamber matching and reduced device failure, wafer stress measurements can be implemented as a regular tool or chamber monitoring test for either unpatterned or patterned wafers as a good criteria for improved process stability.
[1]
Didier Landru,et al.
Pre bonding metrology solutions for 3D integration
,
2010,
2010 IEEE International 3D Systems Integration Conference (3DIC).
[2]
S. Timoshenko,et al.
THEORY OF PLATES AND SHELLS
,
1959
.
[3]
Ares J. Rosakis,et al.
Full Field Measurements of Curvature using Coherent Gradient Sensing: Application to Thin Film Characterization
,
1997
.
[4]
G. Stoney.
The Tension of Metallic Films Deposited by Electrolysis
,
1909
.
[5]
Subra Suresh,et al.
Effects of line and passivation geometry on curvature evolution during processing and thermal cycling in copper interconnect lines
,
2000
.
[6]
David M. Owen,et al.
Application of CGS stress metrology to advanced process control & monitoring
,
2011,
2011 IEEE/SEMI Advanced Semiconductor Manufacturing Conference.
[7]
David M. Owen,et al.
Impact of laser spike annealing dwell time on wafer stress and photolithography overlay errors
,
2009,
2009 International Workshop on Junction Technology.
[8]
David M. Owen,et al.
Characterization of deformation induced by micro-second laser anneal using CGS interferometry
,
2008,
2008 16th IEEE International Conference on Advanced Thermal Processing of Semiconductors.
[9]
David M. Owen.
Stress inspection for overlay characterization
,
2013,
Advanced Lithography.
[10]
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).
[11]
Ares J. Rosakis,et al.
Thin film/substrate systems featuring arbitrary film thickness and misfit strain distributions. Part I: Analysis for obtaining film stress from non-local curvature information
,
2007
.