40 citations · 42 across the 13 of their papers we have counts for
7 papers · 1 filter
Double-Helix Singularity and Vortex-Antivortex Annihilation in Space-Time Helical Pulses
Shuai Shi, Ren Wang, Minhui Xiong +3
Topological structures reveal the hidden secrets and beauty in nature, such as the double helix in DNA, whilst, the manipula-tion of which in physical fields, especially in ultrafa…
Hybrid electromagnetic toroidal vortices
Ren Wang, Beier Ying, Shuai Shi +4
The ubiquitous occurrence of toroidal vortices or vortex rings in fluid-dynamic scenarios in nature has garnered significant attention of scientific frontier, whilst, the electroma…
Single-antenna super-resolution positioning with nonseparable toroidal pulses
Ren Wang, Pan-Yi Bao, Bing-Zhong Wang +1
The fundamental principle of satellite or node-based positioning involves triangulating the receiver's coordinates through the intersection of spatial distances. Recent advancement…
Propagation-invariant strongly longitudinally polarized toroidal pulses
Ren Wang, Ding-Tao Yang, Tao Xin +3
Recent advancements in optical, terahertz, and microwave systems have unveiled non-transverse optical toroidal pulses characterized by skyrmionic topologies, fractal-like singulari…
Simultaneous Localization and Recognition of Subwavelength Non-Cooperative Entities Based on SISO Time Reversal and Neural Networks
Yinchen Wang, Yu Duan, Yu-Qi Ye +5
The simultaneous localization and recognition of subwavelength non-cooperative entities within complex multi-scattering environments using a simplified system continues to pose a s…
Time-varying k-domain modulation around a point sink in time reversal cavity
Xin Liu, Jin-Shan Cui, Ren Wang +2
This paper derives and investigates a time-varying k-domain modulation in vector form using a time-reversal (TR) field decomposition theory proposed for the first time. First, the…
Inverse Design of Frequency Selective Surface Using Physics-Informed Neural Networks
Yu-Hang Liu, Bing-Zhong Wang, Ren Wang
This paper uses Physics-Informed Neural Network (PINN) to design Frequency Selective Surface (FSS). PINN integrates physical information into the loss function, so training PINN do…