Immersion lithography addresses the limits of optical lithography by providing higher NA's (NA > 1),
which enable imaging of smaller features and hence it enables production of 45nm logic devices. One of
the key challenges of this advanced technology, however, is controlling the defectivity level produced
specifically by the Lithography immersion stepper and track systems. To control and monitor the
immersion processes in production, consideration has been given to identifying an alternative to the
traditional sensitivity approaches, using Darkfield (DF) and Brightfield (BF) wafer inspection
methodologies. This unique method should provide for stable, reliable and sensitive inspection results
which are capable of supporting a technology node introduction (product ramp) as well as monitoring the
base line performance (in other words, capture excursions).
The following study was done to explore laser DUV Brightfield inspection, utilizing the Applied Materials
UVisionTM, which has the ability to detect defects as small as 20-40nm size. Additionally a joint project
between AMD, ASML and AMAT developed an appropriate inspection strategy that combines,
lithographic defect printing simulations and sensitive inspection routines to identify defect problems
effectively, drive defect reduction efforts and result in stable production monitoring. We investigated the
use of traditional Photo Test Monitor (PTM) as a valid technique to monitor the introduction of the
immersion lithography at 45nm. In addition, we explored the correlation between these PTM wafers and
the actual production wafers for new types of defects. It was found that the amount of small protrusion
defects (~20-40nm size) increased on immersion PTM wafers compared to dry processed PTM wafers.
Based on process experiments at AMD and immersion defect simulations provided by ASML we were able
to isolate immersion specific defect problems from general lithography related defects also seen in Dry
lithography. The results show that unique combination of high sensitivity defect inspection methods and
simulation efforts can very effectively drive defect reduction efforts and accelerate yield on advanced
technology like immersion lithography. Additionally, it is also possible to provide a production monitoring
of 45nm immersion processes with such extreme sensitive inspection of PTM wafers of defects down to
20nm.
Ilan Englard, Raf Stegen, Erik Van Brederode, Peter Vanoppen, Ingrid Minnaert-Janssen, Frank Duray, Ted der Kinderen, Gazi Tanriseven, Inge Lamers, Mireia Blanco Mantecon, Lior Levin, Eitan Binyamini, Nurit Raccah, Shalev Dror, Eran Valfer, Ofer Rotlevi, Robert Schreutelkamp, Rich Piech
Immersion lithography offers great benefit for advanced technology nodes but at the same time poses a great challenge.
Along with hyper NA values, which increase the scanner resolution, new types of imaging process related defects
emerge. These new defects are related to water, top coating, resist and BARC in the litho process. Root cause analysis of
the so-called wet defects (immersion) versus the so-called dry defects (non immersion-related) becomes crucial in any
immersion lithography related defect reduction program. Manual and eventually automated classification of defects can
be used to analyze the data and monitor baselines. Furthermore, a robust Automatic Defect Classification (ADC)
increases productivity and decreases the wafer cycle time.
This article outlines a methodological approach for wet and dry defect classification that employs rule-based ADC and
enables the generation of an immersion induced defect library for fast baseline improvement and excursion monitoring.
The work described in this article has been performed at ASML using Applied Materials' SEMVision G3 FIB automated
defect review and analysis tool.
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