Thin Metal Superlens Imaging in Nanolithography

المؤلفون المشاركون

Wang, Jing
Sheng, Yunlong

المصدر

International Journal of Optics

العدد

المجلد 2019، العدد 2019 (31 ديسمبر/كانون الأول 2019)، ص ص. 1-6، 6ص.

الناشر

Hindawi Publishing Corporation

تاريخ النشر

2019-05-02

دولة النشر

مصر

عدد الصفحات

6

التخصصات الرئيسية

الفيزياء

الملخص EN

Superlens imaging system in nanolithography can be regarded as a cascade of two F-P cavities, i.e., a superlens cavity and a dielectric cavity between superlens and introduced mask of high loss, and the transfer function of system is obtained by considering multiple reflections inside the two cavities.

For the range of wavevector of interest, the typical high peak of transmission coefficient of superlens coincides with a local minimum of transmission coefficient of dielectric cavity.

The peak of transfer function of system corresponds to the peak of transmission coefficient of dielectric cavity.

Thin superlens imaging system in nanolithography is analyzed based on transfer function, which can be flattened by simply tuning transmission coefficient of dielectric cavity and superlens cavity.

The results are further validated by Finite Element Method (FEM) simulations.

نمط استشهاد جمعية علماء النفس الأمريكية (APA)

Wang, Jing& Sheng, Yunlong. 2019. Thin Metal Superlens Imaging in Nanolithography. International Journal of Optics،Vol. 2019, no. 2019, pp.1-6.
https://search.emarefa.net/detail/BIM-1166622

نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)

Wang, Jing& Sheng, Yunlong. Thin Metal Superlens Imaging in Nanolithography. International Journal of Optics No. 2019 (2019), pp.1-6.
https://search.emarefa.net/detail/BIM-1166622

نمط استشهاد الجمعية الطبية الأمريكية (AMA)

Wang, Jing& Sheng, Yunlong. Thin Metal Superlens Imaging in Nanolithography. International Journal of Optics. 2019. Vol. 2019, no. 2019, pp.1-6.
https://search.emarefa.net/detail/BIM-1166622

نوع البيانات

مقالات

لغة النص

الإنجليزية

الملاحظات

Includes bibliographical references

رقم السجل

BIM-1166622