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 …

Over the last two decades, the capabilities of metasurfaces in light modulation with
subwavelength thickness have been proven, and metasurfaces are expected to miniaturize …

Light detection and ranging (LiDAR) technology, a laser-based imaging technique for
accurate distance measurement, is considered one of the most crucial sensor technologies …

Metasurfaces have attracted great attention due to their ability to manipulate the phase,
amplitude, and polarization of light in a compact form. Tunable metasurfaces have been …

Innovative approaches and tools play an important role in sha** design, characterization
and optimization for the field of photonics. As a subset of machine learning that learns …

As 2D metamaterials, metasurfaces provide an unprecedented means to manipulate light
with the ability to multiplex different functionalities in a single planar device. Currently, most …

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 …

Deep learning has become the dominant approach in artificial intelligence to solve complex
data-driven problems. Originally applied almost exclusively in computer-science areas such …