Measurements and Modeling of Atomic‐Scale Sidewall Roughness and Losses in Integrated Photonic Devices

Abstract

Atomic‐level imperfections play an increasingly critical role in nanophotonic device performance. However, it remains challenging to accurately characterize the sidewall roughness with sub‐nanometer resolution and directly correlate this roughness with device performance. A method that allows to measure the sidewall roughness of waveguides made of any material (including dielectrics) using the high resolution of atomic force microscopy is developed. This method is illustrated by measuring state‐of‐the‐art photonic devices made of silicon nitride. The roughness of devices fabricated using both deep ultraviolet (DUV) photo‐lithography and electron‐beam lithography for two different etch processes is compared. To correlate roughness with device performance, a new Payne–Lacey Bending model is described, which adds a correction factor to the widely used Payne–Lacey model so that losses in resonators and waveguides with bends can be accurately predicted given the sidewall roughness, waveguide width and bending radii. Having a better way to measure roughness and use it to predict device performance can allow researchers and engineers to optimize fabrication for state‐of‐the‐art photonics using many materials.

Document Details

Document Type
Pub Defense Publication
Publication Date
Jun 25, 2022
Source ID
10.1002/adom.202102073

Entities

People

  • Jaime Cardenas
  • Mateus Corato‐Zanarella
  • Michal Lipson
  • Samantha P. Roberts
  • Xingchen Ji

Organizations

  • Air Force Office of Scientific Research
  • Columbia University
  • Defense Advanced Research Projects Agency
  • National Science Foundation
  • Shanghai Jiao Tong University
  • University of Rochester

Tags

Fields of Study

  • Physics

Readers

  • Computational Modeling and Simulation
  • Nanofabrication and Microfabrication.
  • Optical Physics and Photonics.

Technology Areas

  • Directed Energy
  • Microelectronics
  • Microelectronics - Graphene