Inverse Design of Plasmonic Structures with FDTD
Zhou Zeng, Xianfan Xu

TL;DR
This paper introduces a novel inverse design framework for plasmonic structures using FDTD combined with a discrete adjoint method, enabling accurate gradient calculation and stable optimization.
Contribution
It integrates the discrete adjoint method with FDTD for inverse design of plasmonic nanostructures, addressing gradient accuracy and stability challenges.
Findings
Exact gradient calculation demonstrated for plasmonic structures.
Stable convergence achieved with non-linear material interpolation.
Successful design of a plasmonic bowtie aperture.
Abstract
Inverse design has greatly expanded nanophotonic devices and brought optimized performance. However, the use of inverse design for plasmonic structures has been challenging due to local field concentrations that can lead to errors in gradient calculation when the continuum adjoint method is used. On the other hand, with the discrete adjoint method one can achieve the exact gradient. Historically the discrete version is exclusively used with a Finite Element model, and applying the Finite-Difference Time-Domain (FDTD) method in inverse design of plasmonic structures is rarely attempted. Due to the popularity of using FDTD in simulating plasmonic structures, we integrate the discrete adjoint method with FDTD and present a framework to carry out inverse design of plasmonic structures using density-based topology optimization. We demonstrate the exactness of the gradient calculation for a…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsOptical Coatings and Gratings · Metamaterials and Metasurfaces Applications · Electromagnetic Simulation and Numerical Methods
