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

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 …

Recent years have witnessed a rapid development in the field of structural coloration, colors
generated from the interaction of nanostructures with light. Compared to conventional color …

Nanophotonics has garnered intensive attention due to its unique capabilities in molding the
flow of light in the subwavelength regime. Metasurfaces (MSs) and photonic integrated …

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 …

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 neural networks (DNNs) are empirically derived systems that have transformed
traditional research methods, and are driving scientific discovery. Artificial electromagnetic …

Abstract Designing Photonic Crystal Fibers incorporating the Surface Plasmon Resonance
Phenomenon (PCF-SPR) has led to numerous interesting applications. This investigation …

Metamaterials are artificial structures with the ability to efficiently control light‐field, attracting
intensive attention in the past few decades. People have studied the working principles …

All-optical plasmonic switches (AOPSs) utilizing surface plasmon polaritons are well-suited
for integration into photonic integrated circuits (PICs) and play a crucial role in advancing all …