Paper
13 March 2012 The development of a fast physical photoresist model for OPE and SMO applications from an optical engineering perspective
Donis Flagello, Ryota Matsui, Kazuhiro Yano, Tomoyuki Matsuyama
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Abstract
This work describes a new photoresist imaging model that retains the fundamental physical and chemical properties of optical exposure, post-exposure bake and development. We apply dimensional reduction algorithms that reduce the imaging aspects of the problem, but preserve the imaging and thin film physics. This has the effect of simplifying the overall model and increasing the computational speed, while retaining an extremely accurate predictive capability. The model named the RoadRunner Model, gives more detail and parameter intuition than a basic threshold model and agrees well with full photoresist simulation. The model can be adapted for OPE analysis and source-mask optimization. We present an adaption of the model to incorporate relevant stochastic processes, and we discuss its use in applications such line wide roughness analysis and EUV imaging.
© (2012) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Donis Flagello, Ryota Matsui, Kazuhiro Yano, and Tomoyuki Matsuyama "The development of a fast physical photoresist model for OPE and SMO applications from an optical engineering perspective", Proc. SPIE 8326, Optical Microlithography XXV, 83260R (13 March 2012); https://doi.org/10.1117/12.917030
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CITATIONS
Cited by 4 scholarly publications.
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KEYWORDS
Photoresist materials

Calibration

Data modeling

Photoresist developing

Diffusion

Image compression

Statistical modeling

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