4 papers
Metasurface-based Terahertz Three-dimensional Holography Enabled by Physics-Informed Neural Network
Jingzhu Shao, Ping Tang, Borui Xu +4
Artificial intelligence has revolutionized optical device design, overcoming the efficiency bottlenecks of traditional methods. For holographic metasurfaces, conventional iterative…
Partitionable Diffractive Neural Networks for Multifunctional Optical Operations
Yudong Tian, Haifeng Xu, Yuqing Liu +3
Diffractive neural network (DNN), which can perform machine learning tasks based on the light propagation and diffraction, has recently emerged as a promising optical computing par…
ME-FIRST: A Metasurface-Enhanced Fingerprint InfraRed Spectroscopic Tool for Fluid Analytes
Xiangyu Zhao, Yuqing Liu, Jingzhu Shao +2
Infrared (IR) spectroscopy has emerged as a pivotal tool in biomedical diagnostics, offering label-free spectral biomarkers for the detection of numerous diseases, particularly in…
Metasurface-empowered freely-arrangeable multi-task diffractive neural networks with weighted training
Yudong Tian, Haifeng Xu, Yuqing Liu +4
Recent advancements in optical computing have garnered considerable research interests owing to its ener-gy-efficient operation and ultralow latency characteristics. As an emerging…