1 citations · 1 across the 4 of their papers we have counts for
4 papers
3D aperture-engineered diffractive neural networks for super-resolution electromagnetic wave computing
Sheng Gao, Songtao Yang, Haiou Zhang +2
The rapid progress in 6G communication and high-bandwidth radar has driven an unprecedented surge in the spatial density of signal sources, resulting in an increasingly congested e…
Pronounced scale-dependent charge carrier density in graphene quantum Hall devices
Ziqiang Kong, Yu Feng, Han Gao +19
The miniaturization of quantum Hall resistance standards (QHRS) using epitaxial graphene on silicon carbide necessitates understanding how device dimensions impact performance. Thi…
Meta-training of diffractive meta-neural networks for super-resolution direction of arrival estimation
Songtao Yang, Sheng Gao, Chu Wu +3
Diffractive neural networks leverage the high-dimensional characteristics of electromagnetic (EM) fields for high-throughput computing. However, the existing architectures face cha…
Super-resolution imaging using super-oscillatory diffractive neural networks
Hang Chen, Sheng Gao, Zejia Zhao +4
Optical super-oscillation enables far-field super-resolution imaging beyond diffraction limits. However, the existing super-oscillatory lens for the spatial super-resolution imagin…