Strategies for optimizing plasmonic grating couplers with topology-based inverse design
arXiv:2308.01893 · doi:10.1364/JOSAB.502571
Abstract
Numerical simulations have become a cornerstone technology in the development of nanophotonic devices. Specifically, 3D finite difference time domain (FDTD) simulations are a widely used due to their flexibility and powerful design capabilities. More recently, FDTD simulations in conjunction with a design methodology called inverse design has become a popular way to optimize device topology, reducing a device's footprint and increasing performance. We implement a commercial inverse design tool to generate complex grating couplers and explore a variety of grating coupler design methodologies. We compare the conventionally designed grating couplers to those generated by the inverse design tool. Finally, we discuss the limitations of the inverse design tool and how different design strategies for grating couplers affect inverse design performance, both in terms of computational cost and performance of the resulting device.
References in corpus (6)
- Inverse Design of Near Unity Efficiency Perfectly Vertical Grating Couplers
- Mapping the global design space of nanophotonic components using machine learning pattern recognition
- Fully-automated optimization of grating couplers
- An Efficient Large-Area Grating Coupler for Surface Plasmon Polaritons
- Inverse Design of Grating Couplers Using the Policy Gradient Method from Reinforcement Learning
- Implementing commercial inverse design tools for compact, phase-encoded, plasmonic digital logic devices