Light: Science & Applications
A peer-reviewed open access journal publishing highest-quality articles across the full spectrum of optics research. LSA promotes frontier research in all areas of optics and photonics, including basic, applied, scientific and engineering results.
Scientists in China invented a knowledge-inherited neural network for metasurface inverse design and assembly in a “green” manner. Such a paradigm breaks a long-standing stereotype that neural networks only work for predefined and shape-bound objects.
Digging deeper: Dielectric Mie voids
We introduce voids in high-index materials as novel building blocks for nanophotonics, pushing the operational wavelength into the blue and UV spectral range.
Optoelectronic oscillator solves combinatorial optimization problems
We proposed to use an optoelectronic oscillator to solve combinatorial optimization problems. This new machine can achieve computation acceleration by utilizing the convergence property of the physical system.
Lightening up Topological-Semimetal Photoelectronics at Nanoscale beyond Interband-energy Limit
Topological Dirac semimetal, with its versatile symmetry-breaking operation, provides unprecedented opportunities to explore Dirac fermiology for low-energy spectroscopy beyond early landmarks of interband-engineering optoelectronics.
Non-line-of-sight reconstruction with signal-object collaborative regularization
Non-line-of-sight (NLOS) imaging aims at recovering obscured objects from multiple scattered light. Our recent work provides a signal-object collaborative regularization (SOCR) framework for high-quality and noise-robust NLOS reconstructions.
Doing Spectral Research as a Microscopist
My team and I developed a deeply learned broadband encoding stochastic hyperspectral camera. As a microscopy developer, why do I want to do this?