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

The growing maturity of nanofabrication has ushered massive sophisticated optical
structures available on a photonic chip. The integration of subwavelength-structured …

The rise of machine learning has fueled the discovery of new materials and, especially,
metamaterials—truss lattices being their most prominent class. While their tailorable …

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 …

Inverse design arises in a variety of areas in engineering such as acoustic, mechanics,
thermal/electronic transport, electromagnetism, and optics. Topology optimization is an …

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

High-throughput data generation methods and machine learning (ML) algorithms have
given rise to a new era of computational materials science by learning the relations between …

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 …