Lightweight, miniaturized optical imaging systems are vastly anticipated in these fields of
aerospace exploration, industrial vision, consumer electronics, and medical imaging …

Recent years have witnessed promising artificial intelligence (AI) applications in many
disciplines, including optics, engineering, medicine, economics, and education. In particular …

Metamaterials are artificial materials designed to exhibit effective material parameters that
go beyond those found in nature. Composed of unit cells with rich designability that are …

Conventional human-driven methods face limitations in designing complex functional
metasurfaces. Inverse design is poised to empower metasurface research by embracing fast …

Active metasurfaces promise reconfigurable optics with drastically improved compactness,
ruggedness, manufacturability and functionality compared to their traditional bulk …

The data-science revolution is poised to transform the way photonic systems are simulated
and designed. Photonic systems are, in many ways, an ideal substrate for machine learning …

Deep learning in the context of nano-photonics is mostly discussed in terms of its potential
for inverse design of photonic devices or nano-structures. Many of the recent works on …

Meta-optics has achieved major breakthroughs in the past decade; however, conventional
forward design faces challenges as functionality complexity and device size scale up …

Nanophotonics has garnered intensive attention due to its unique capabilities in molding the
flow of light in the subwavelength regime. Metasurfaces (MSs) and photonic integrated …

Metasurfaces, a two-dimensional (2D) form of metamaterials constituted by planar meta-
atoms, exhibit exotic abilities to tailor electromagnetic (EM) waves freely. Over the past …