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 …

Light transport in a highly multimode fiber exhibits complex behavior in space, time,
frequency, and polarization, especially in the presence of mode coupling. The newly …

Recent years have seen the rapid growth and development of the field of smart photonics,
where machine-learning algorithms are being matched to optical systems to add new …

Laser-plasma physics has developed rapidly over the past few decades as lasers have
become both more powerful and more widely available. Early experimental and numerical …

The research of metamaterials has achieved enormous success in the manipulation of light
in a prescribed manner using delicately designed subwavelength structures, so‐called meta …

This tutorial–review on applications of artificial neural networks in photonics targets a broad
audience, ranging from optical research and engineering communities to computer science …

In recent years, machine learning, especially various deep neural networks, as an emerging
technique for data analysis and processing, has brought novel insights into the development …

Using a deep neural network, we demonstrate a digital staining technique, which we term
PhaseStain, to transform the quantitative phase images (QPI) of label-free tissue sections …

Abstract Machine learning, as a study of algorithms that automate prediction and decision‐
making based on complex data, has become one of the most effective tools in the study of …

The propagation of ultrashort pulses in optical fibre plays a central role in the development
of light sources and photonic technologies, with applications from fundamental studies of …