Spectral domain inverse design for accelerating nanocomposite metamaterials discovery

Abstract

Inverse design techniques in the context of nanophotonics have helped in discovery of compact and counter-intuitive structures/shapes. We introduce the concept of spectral domain inverse design to search through the optical trade-space (dispersive permittivity) of nanocomposite metamaterials. We develop a hybrid optimization technique that combines genetic algorithms and gradient descent methods. We utilize this technique to inverse design an ultra-thin thermophotovoltaic emitter coating material. Our work can lead to an efficient approach to search for new multi-functional optical/thermal metamaterials with desired complex permittivity.

References in corpus (8)

• Outlook for inverse design in nanophotonics
• Training deep neural networks for the inverse design of nanophotonic structures
• Inverse design and demonstration of a compact and broadband on-chip wavelength demultiplexer
• A Generative Model for Inverse Design of Metamaterials
• Nanophotonic Computational Design
• High temperature epsilon-near-zero and epsilon-near-pole metamaterial emitters for thermophotovoltaics
• Generalized effective-medium theory for metamaterials
• Thermal graphene metamaterials and epsilon-near-zero high temperature plasmonics