Direct Optimization (DO) of a 3D DSA model is a more optimal approach to a DTCO study in terms of accuracy and speed compared to a Cahn Hilliard Equation solver. DO’s shorter run time (10X to 100X faster) and linear scaling makes it scalable to the area required for a DTCO study. However, the lack of temporal data output, as opposed to prior art, requires a new calibration method. The new method involves a specific set of calibration patterns. The calibration pattern’s design is extremely important when temporal data is absent to obtain robust model parameters. A model calibrated to a Hybrid DSA system with a set of device-relevant constructs indicates the effectiveness of using nontemporal data. Preliminary model prediction using programmed defects on chemo-epitaxy shows encouraging results and agree qualitatively well with theoretical predictions from a strong segregation theory.
Kafai Lai, Balint Meliorisz, Thomas Muelders, Ulrich Welling, Hans-Jürgen Stock, Sajan Marokkey, Wolfgang Demmerle, Chi-Chun Liu, Cheng Chi, and Jing Guo, "Advanced fast 3D DSA model development and calibration for design technology co-optimization," Proc. SPIE 10144, Emerging Patterning Technologies, 101440H (Presented at SPIE Advanced Lithography: February 28, 2017; Published: 27 April 2017); https://doi.org/10.1117/12.2260379.
Conference Presentations are recordings of oral presentations given at SPIE conferences and published as part of the proceedings. They include the speaker's narration with video of the slides and animations. Most include full-text papers. Interactive, searchable transcripts and closed captioning are now available for 2018 presentations, with transcripts for prior recordings added daily.
Search our growing collection of more than 16,000 conference presentations, including many plenaries and keynotes.