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 …

During the past few years, metasurfaces have been used to demonstrate optical elements
and systems with capabilities that surpass those of conventional diffractive optics. Here, we …

Metasurfaces are ushering in an era of multifunctional control over optical wavefronts
realized with ultrathin planarized devices. Recent advances have been enabling …

The angular response of thin diffractive optical elements is highly correlated. For example,
the angles of incidence and diffraction of a grating are locked through the grating momentum …

Optimization techniques have been indispensable for designing high-performance meta-
devices targeted to a wide range of applications. In fact, today optimization is no longer an …

We present a computational framework for efficient optimization-based “inverse design” of
large-area “metasurfaces”(subwavelength-patterned surfaces) for applications such as multi …

As optical metasurfaces become progressively ubiquitous, the expectations from them are
becoming increasingly complex. The limited number of structural parameters in the …

Metagratings are flat and thin surfaces that rely on unique, periodically repeating (non-
gradient), arbitrary shaped light scattering units for wave manipulation. However, the …

The overall size of an optical system is limited by the volume of the components and the
internal optical path length. To reach the limits of miniaturization, it is possible to reduce both …

A dynamic convergence between metaphotonics and artificial intelligence (AI) is underway.
In this review, AI is conceptualized as a tool for mapping input and output data. From this …