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High-performance hybrid time/frequency-domain topology optimization for large-scale photonics inverse design

Alec M. Hammond, Ardavan Oskooi, Mo Chen, Zin Lin, Steven G. Johnson, Stephen E. Ralph

2022Optics Express120 citationsDOIOpen Access PDF

Abstract

We present a photonics topology optimization (TO) package capable of addressing a wide range of practical photonics design problems, incorporating robustness and manufacturing constraints, which can scale to large devices and massive parallelism. We employ a hybrid algorithm that builds on a mature time-domain (FDTD) package Meep to simultaneously solve multiple frequency-domain TO problems over a broad bandwidth. This time/frequency-domain approach is enhanced by new filter-design sources for the gradient calculation and new material-interpolation methods for optimizing dispersive media, as well as by multiple forms of computational parallelism. The package is available as free/open-source software with extensive tutorials and multi-platform support.

Topics & Concepts

PhotonicsComputer scienceRobustness (evolution)Topology optimizationSoftwareElectronic engineeringTopology (electrical circuits)InverseInverse problemRange (aeronautics)Integrated opticsOptical engineeringComputational scienceNetwork topologyScale (ratio)Optimization problemSignal processingTopology Optimization in EngineeringPhotonic and Optical DevicesNeural Networks and Reservoir Computing
High-performance hybrid time/frequency-domain topology optimization for large-scale photonics inverse design | Litcius