Litcius/Paper detail

Topological inverse design of nanophotonic devices with energy constraint

Guowu Zhang, Dan‐Xia Xu, Yuri Grinberg, Odile Liboiron-Ladouceur

2021Optics Express41 citationsDOIOpen Access PDF

Abstract

In this paper, we introduce an energy constraint to improve topology-based inverse design. Current methods typically place the constraints solely on the device geometry and require many optimization iterations to converge to a manufacturable solution. In our approach the energy constraint directs the optimization process to solutions that best contain the optical field inside the waveguide core medium, leading to more robust designs with relatively larger minimum feature size. To validate our method, we optimize two components: a mode converter (MC) and a wavelength demultiplexer. In the MC, the energy constraint leads to nearly binarized structures without applying independent binarization stage. In the demultiplexer, it also reduces the appearance of small features. Furthermore, the proposed constraint improves the robustness to fabrication imperfections as shown in demultiplexer design. With energy constraint optimization, the corresponding spectrum shifts under ±10 nm dimensional variations are reduced by 17% to 30%. The proposed constraint is unique in simultaneously taking both geometry and electric field into account, opening the door to new ideas and insights to further improve the computationally intensive topology-based optimization process of nanophotonic devices.

Topics & Concepts

Topology optimizationDemultiplexerNanophotonicsTopology (electrical circuits)Robustness (evolution)Computer scienceInverseConstraint (computer-aided design)OpticsMathematical optimizationAlgorithmMathematicsPhysicsTelecommunicationsMultiplexingGeometryGeneChemistryThermodynamicsFinite element methodCombinatoricsMultiplexerBiochemistryMetamaterials and Metasurfaces ApplicationsPhotonic and Optical DevicesPhotonic Crystals and Applications