5 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…
Deep-learning-enabled inverse design of large-scale metasurfaces with full-wave accuracy
Borui Xu, Jingzhu Shao, Xiangyu Zhao +8
Recent advances in meta-optics have enabled diverse functionalities in compact optical devices; however, conventional forward design approaches become inadequate as device complexi…
Unsupervised and Supervised Algorithms for Identification of Sample Pixels in FTIR Images
Xiangyu Zhao, Yudong Tian, Jingzhu Shao +1
Mid-InfraRed spectroscopy is a promising label-free technique that can offer insights into morphological and pathological alterations in biological tissues at the molecular level.…
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…