Inverse Design for Waveguide Dispersion with a Differentiable Mode Solver
Dodd Gray, Gavin N. West, Rajeev J. Ram

TL;DR
This paper introduces a differentiable eigenmode solver for inverse design of waveguide dispersion, enabling efficient optimization of broadband nonlinear optical devices with reduced computational cost.
Contribution
It develops a gradient back-propagation method through an electromagnetic eigenmode solver for waveguide dispersion optimization, overcoming limitations of previous FDTD-based tools.
Findings
Achieved waveguide dispersion optimization for second harmonic generation.
Reduced optimization computational cost by approximately 100 times.
Identified new broadband optical frequency doubling designs.
Abstract
Inverse design of optical components based on adjoint sensitivity analysis has the potential to address the most challenging photonic engineering problems. However existing inverse design tools based on finite-difference-time-domain (FDTD) models are poorly suited for optimizing waveguide modes for adiabatic transformation or perturbative coupling, which lies at the heart of many important photonic devices. Among these, dispersion engineering of optical waveguides is especially challenging in ultrafast and nonlinear optical applications involving broad optical bandwidths and frequency-dependent anisotropic dielectric material response. In this work we develop gradient back-propagation through a general purpose electromagnetic eigenmode solver and use it to demonstrate waveguide dispersion optimization for second harmonic generation with maximized phase-matching bandwidth. This…
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Taxonomy
TopicsPhotonic and Optical Devices · Microwave Engineering and Waveguides
