Contact pitch and location prediction for Directed Self-Assembly template verification

Zigang Xiao, Yuelin Du, Martin D F Wong, He Yi, H. S.Philip Wong, Hongbo Zhang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Directed Self-Assembly (DSA) is a promising technique for contacts/vias patterning in 7 nm technology nodes. In DSA process, groups of contact holes/vias are generated by the self-assembly process guided by the 'guiding templates'. The guiding templates are patterned by conventional optical lithography process such as 193 nm immersion lithography. As a result, the patterning fidelity and variation in the template shapes is very likely to affect the final contact holes/vias. While feasible in principle, rigorous DSA process simulation is unacceptably slow for full chip verification in practice. This paper proposes a machine learning based verification that can predict the pitch size of the contact holes and the hole centers. Given a set of training data that consists of simulated template and contact hole patterns, our method is able to learn a highly accurate predictive model for pitch size and hole location. To build a statistical model for prediction, we utilize computer vision techniques to extract various geometric and image features. We conduct extensive experiments to explore the effectiveness of the proposed features, and compare several machine learning algorithms to achieve an effective and efficient prediction. The experimental results show that compared to the minutes or even hours of simulation time in rigorous methods, our best prediction model achieves very promising results (RMSE = 0.135 pitch grid) with less than one second of training and predicting runtime overhead.

Original languageEnglish (US)
Title of host publication20th Asia and South Pacific Design Automation Conference, ASP-DAC 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages644-651
Number of pages8
ISBN (Electronic)9781479977925
DOIs
StatePublished - Mar 11 2015
Event2015 20th Asia and South Pacific Design Automation Conference, ASP-DAC 2015 - Chiba, Japan
Duration: Jan 19 2015Jan 22 2015

Publication series

Name20th Asia and South Pacific Design Automation Conference, ASP-DAC 2015

Other

Other2015 20th Asia and South Pacific Design Automation Conference, ASP-DAC 2015
CountryJapan
CityChiba
Period1/19/151/22/15

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ASJC Scopus subject areas

  • Computer Science Applications
  • Electrical and Electronic Engineering
  • Control and Systems Engineering
  • Modeling and Simulation

Cite this

Xiao, Z., Du, Y., Wong, M. D. F., Yi, H., Wong, H. S. P., & Zhang, H. (2015). Contact pitch and location prediction for Directed Self-Assembly template verification. In 20th Asia and South Pacific Design Automation Conference, ASP-DAC 2015 (pp. 644-651). [7059081] (20th Asia and South Pacific Design Automation Conference, ASP-DAC 2015). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ASPDAC.2015.7059081