With the explosive growth of mathematical optimization and computing hardware, deep
neural networks (DNN) have become tremendously powerful tools to solve many …

Abstract In 1948, Dennis Gabor proposed the concept of holography, providing a pioneering
solution to a quantitative description of the optical wavefront. After 75 years of development …

Optical wireless communication (OWC) in the deep‐ultraviolet (DUV) band requires an
efficient DUV light source with large bandwidth characteristics. In this work, a feasible …

Artificial intelligence (AI)-integrated smartphone-based handheld determination platform,
based on 3D printed accessory, Al 3+-triggered aggregation-induced red-emssion …

In natural systems like photosynthetic organisms and photo-active enzymes, the spatial
organization of chromophores is critical for efficient light harvesting and bio-catalysis …

Single-pixel imaging (SPI) is an emerging imaging methodology that converts a two-or even
three-dimensional image acquisition problem into a one-dimensional (1D) temporal-signal …

Two-dimensional (2D) metalloporphyrin-based MOF thin films possessing abundant π–π
interactions are promising materials for photoelectronic devices, but no reports on …

We propose a physics-assisted deep neural network scheme in Fourier ptychographic
microscopy (FPM) using untrained deep neural network priors (FPMUP) to achieve a high …

Abstract Correlation Plenoptic Imaging (CPI) is a novel volumetric imaging technique that
uses two sensors and the spatio-temporal correlations of light to detect both the spatial …

Formaldehyde (HCHO) is a toxic and hazardous air pollutant that widely exists in
atmosphere. Insufficient spatial and temporal coverage of surface HCHO measurements is …