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Inverse design of photonic meta-structure for beam collimation in on-chip sensing.
Singh, Robin; Nie, Yuqi; Gao, Mingye; Agarwal, Anuradha Murthy; Anthony, Brian W.
Afiliação
  • Singh R; Department of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA. robinme@mit.edu.
  • Nie Y; Institute for Medical Engineering and Science, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA. robinme@mit.edu.
  • Gao M; Department of Materials Science and Engineering, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA.
  • Agarwal AM; Microphotonics Center, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA.
  • Anthony BW; Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA.
Sci Rep ; 11(1): 5343, 2021 03 05.
Article em En | MEDLINE | ID: mdl-33674688
ABSTRACT
Designed or patterned structured surfaces, metasurfaces, enable the miniaturization of complex arrangements of optical elements on a plane. Most of the existing literature focuses on miniaturizing the optical detection; little attention is directed to on-chip optical excitation. In this work, we design a metasurface to create a planar integrated photonic source beam collimator for use in on-chip optofluidic sensing applications. We use an iterative inverse design approach in order to optimize the metasurface to achieve a target performance using gradient descent method. We then fabricate beam collimators and experimentally compare performance characteristics with conventional uniform binary grating-based photonic beam diffractors. The optimal design enhances the illumination power by a factor of 5. The reinforced beam is more uniform with 3 dB beam spot increased almost ~ 3 times for the same device footprint area. The design approach will be useful in on-chip applications of fluorescence imaging, Raman, and IR spectroscopy and will enable better multiplexing of light sources for high throughput biosensing.

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2021 Tipo de documento: Article