Artificial intelligence (AI) coupled with promising machine learning (ML) techniques well
known from computer science is broadly affecting many aspects of various fields including …

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 …

Control over the dispersion of the refractive index is essential to the performance of most
modern optical systems. These range from laboratory microscopes to optical fibres and even …

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

Metasurface‐generated holography has emerged as a promising route for fully reproducing
vivid scenes by manipulating the optical properties of light using ultra‐compact devices …

In the recent years, a dramatic boost of the research is observed at the junction of photonics,
machine learning and artificial intelligence. A new methodology can be applied to the …

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 …

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 …

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 …

Metasurfaces are composed of a two-dimensional array of carefully engineered
subwavelength structures. They provide a novel compact alternative to conventional …