We have demonstrated a spectral and repetition rate programmable Yb-doped fiber laser (YDFL) employing an acousto-optic tunable filter (AOTF) as both the intra-cavity spectral filter and temporal m…
Deep reinforcement learning (RL) agents are becoming increasingly proficient in a range of complex control tasks. However, the agent’s behavior is usually difficult to interpret due to the introd…
We propose a method based on temporal ghost imaging (TGI) that enables signal transmission at an ultra-high frequency much higher than the bandwidth of the emitter in a visible light communication …
Deep reinforcement learning (RL) has recently led to many breakthroughs on a range of complex control tasks. However, the agent’s decision-making process is generally not transparent. The lack of…
Two-dimensional (2D) Nb 2 CT X MXene has outstanding physicochemical properties and great potential in biochemical sensing applications. Here, we proposed and designed an ultrasensitive microfiber …
Generative adversarial networks (GANs) have been a popular deep generative model for real-world applications. Despite many recent efforts on GANs that have been contributed, mode collapse and insta…
Cylindrical vector beams (CVBs), which have spatial non-uniform polarization distributions, have gained considerable interest in optical communication owing to their orthogonal vector modes. Howeve…
An effective method, reducing the material volume of the air cavity by asymmetrical tapering fiber, is demonstrated to enhance the sensitivity of the strain sensor dramatically. High-sensitive stra…
An excitation source with two independent-tunable Stokes wavelengths is demonstrated for dual-frequency coherent anti-Stokes Raman scattering applications. Two Stokes wavelengths can be independent…