Efficient cross-Talk reduction of nanophotonic circuits enabled by periodic silicon strip arrays

Yusheng Bian, Qiang Ren, Lei Kang, Ping Werner, Douglas H. Werner

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

Abstract

We develop a simple and efficient crosstalk reduction approach for Si-based nanophotonic circuits by introducing a periodic array of Si strips between adjacent waveguides. Studies indicate that the coupling length can be extended by more than two orders of magnitude for a waveguide pair with an edge-To-edge distance of ∼λ/3. Our approach offers a feasible route toward photonic integrated circuits with an ultra-high packing density.

Original languageEnglish (US)
Title of host publication2017 USNC-URSI Radio Science Meeting (Joint with AP-S Symposium), USNC-URSI 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages77-78
Number of pages2
ISBN (Electronic)9781509044122
DOIs
StatePublished - Oct 18 2017
Event2017 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, USNC-URSI 2017 - San Diego, United States
Duration: Jul 9 2017Jul 14 2017

Publication series

Name2017 USNC-URSI Radio Science Meeting (Joint with AP-S Symposium), USNC-URSI 2017

Other

Other2017 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, USNC-URSI 2017
CountryUnited States
CitySan Diego
Period7/9/177/14/17

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Signal Processing
  • Instrumentation
  • Radiation

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    Bian, Y., Ren, Q., Kang, L., Werner, P., & Werner, D. H. (2017). Efficient cross-Talk reduction of nanophotonic circuits enabled by periodic silicon strip arrays. In 2017 USNC-URSI Radio Science Meeting (Joint with AP-S Symposium), USNC-URSI 2017 (pp. 77-78). [8074905] (2017 USNC-URSI Radio Science Meeting (Joint with AP-S Symposium), USNC-URSI 2017). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/USNC-URSI.2017.8074905