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A modified squeeze equation for predicting the filling ratio of nanoimprint lithography.
Ryu, JiHyeong; Lee, Ho; Lee, Sang-Ho; Lim, HyungJun; Lee, JaeJong.
Afiliación
  • Ryu J; School of Mechanical Engineering, Kyungpook National University, Daegu, 702-701 Republic of Korea.
  • Lee H; School of Mechanical Engineering, Kyungpook National University, Daegu, 702-701 Republic of Korea.
  • Lee SH; Division of Mechanical & Automotive Engineering, Wonkwang University, Iksan, 570-749 Republic of Korea.
  • Lim H; Nano-Convergence and Mechanical Systems Research Division, Korea Institute of Machinery and Materials, Daejeon, 305-343 Republic of Korea.
  • Lee J; Department of Nano Mechatronics, University of Science and Technology, Daejeon, 305-807 Republic of Korea.
Nano Converg ; 4(1): 14, 2017.
Article en En | MEDLINE | ID: mdl-28680797
ABSTRACT
A numerical method using the modified squeeze model is proposed in this paper in order to overcome the limitation of the established squeeze equation and obtain filling ratios for nanoimprint lithography (NIL). Because the imprinting velocity is overestimated when the ratio of indenter width to polymer thickness is close to unity, the modified equation is critical. For verification, the numerical results are compared with the experimental data according to the various stamp geometries and pressure variation rates, for which a maximum difference of 10% is indicated. Based on these results, additional studies are conducted using the modified squeeze equation in order to obtain filling ratios according to the polymer thickness and temperature. The filling rates are enhanced through the increases in the temperature and the polymer thickness. The results demonstrate that the modified squeeze equation can be used to obtain and predict the filling ratio of sub-nanoscale NIL fabrication. It is expected that this study will assist in optimizing the experimental conditions and approaches for roll-to-roll NIL and step-and-flash NIL.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Nano Converg Año: 2017 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Nano Converg Año: 2017 Tipo del documento: Article