Introduction

Deng, Yongbo

doi:10.1007/978-981-16-7969-8_1

Cited by 1 publication

(2 citation statements)

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“…In recent years, inverse design techniques have become popular in (nano-)photonics to automatically and efficiently explore large design spaces and discover and optimize micro- and nanostructures with desired optical functionalities . Deep learning algorithms are emerging as a promising option for nanophotonics inverse design, but they require prohibitively large data sets for training. , On the contrary, inverse design based on the adjoint method is more efficient since the gradient information used to update the design can be calculated with only two simulations …”

Section: Introductionmentioning

confidence: 99%

“…Topology optimization via the adjoint method has been presented in various forms based on frequency-domain formulations. − The treatment of dispersion by frequency-domain solvers, such as the finite element method (FEM) and the finite-difference frequency-domain method is straightforward. The computational complexity of such methods does not increase with the complexity of materials dispersion since only the value of the complex permittivity at the simulation frequency is required.…”

Section: Introductionmentioning

confidence: 99%

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Time-Domain Topology Optimization of Arbitrary Dispersive Materials for Broadband 3D Nanophotonics Inverse Design

Gedeon,

Hassan,

Calà Lesina

2023

ACS Photonics

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In the last decades, nanostructures have unlocked myriads of functionalities in nanophotonics by engineering light–matter interaction beyond what is possible with conventional bulk optics. The space of parameters available for design is practically unlimited due to the large variety of optical materials and nanofabrication techniques. Thus, computational approaches are necessary to efficiently search for the optimal solutions. In this paper, we enable the free-form inverse design in 3D of linear optical materials with arbitrary dispersion and anisotropy. This is achieved by (1) deriving an analytical adjoint scheme based on the complex-conjugate pole-residue pair model in the time domain and (2) its implementation in a parallel finite-difference time-domain framework with a topology optimization routine, efficiently running on high-performance computing systems. Our method is tested on the design problem of field confinement using dispersive nanostructures. The obtained designs satisfy the fundamental curiosity of how free-form metallic and dielectric nanostructures perform when optimized in 3D, also in comparison to fabrication-constrained designs. Unconventional free-form designs revealed by computational methods, although may be challenging or unfeasible to realize with current technology, bring new insights into how light can more efficiently interact with nanostructures and provide new ideas for forward design.

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