4 papers
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…
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…
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…