In recent years, metasurface, as a representative of micro-and nano-optics, have
demonstrated a powerful ability to manipulate light, which can modulate a variety of physical …

Photonic crystals are periodic dielectric structures that possess a wealth of physical
characteristics. Owing to the unique way they interact with the light, they provide new …

Being invisible ad libitum has long captivated the popular imagination, particularly in terms
of safeguarding modern high-end instruments from potential threats. Decades ago, the …

In the rapidly develo** field of nanophotonics, machine learning (ML) methods facilitate
the multi‐parameter optimization processes and serve as a valuable technique in tackling …

Miniaturized computational spectrometers have emerged as a promising strategy for
miniaturized spectrometers, which breaks the compromise between footprint and …

Metasurfaces, which consist of arrays of ultrathin planar nanostructures (also known as
“meta-atoms”), offer immense potential for use in high-performance optical devices through …

Recently, deep learning has been used to establish the nonlinear and nonintuitive map**
between physical structures and electromagnetic responses of meta-atoms for higher …

Super-resolution fluorescence imaging has offered unprecedented insights and
revolutionized our understanding of biology. In particular, localized plasmonic structured …

Composed of a large number of artificial nanostructures, metasurfaces have found
applications in metalenses, structured light generation and optical deflectors through …

In this study, we propose and implement a deep neural network framework based on
multitask learning aimed at simplifying the forward modeling and inverse design process of …