[HTML][HTML] Thermally tunable binary-phase VO2 metasurfaces for switchable holography and digital encryption

Y Liao, Y Fan, D Lei - Nanophotonics, 2024 - degruyter.com
Metasurface holography has aroused immense interest in producing holographic images
with high quality, higher-order diffraction-free, and large viewing angles by using a planar …

Machine Learning Enables Multi‐Degree‐of‐Freedom Reconfigurable Terahertz Holograms with Cascaded Diffractive Optical Elements

W Jia, D Lin… - Advanced Optical Materials, 2023 - Wiley Online Library
Abstract Machine learning can empower the design of cascaded diffractive optical elements
(DOEs) at terahertz frequencies enabling the realization of holograms with a tailored multi …

Controllable Wrinkling Inspired Multifunctional Metamaterial for Near‐Field and Holographic Displays

D Han, W Li, Y Hou, X Chen, H Shi… - Laser & Photonics …, 2024 - Wiley Online Library
Tunable electromagnetic (EM) metamaterials have received significant attention due to their
compelling advantages of integration and minimization compared with conventional bulky …

Ultra-dense moving cascaded metasurface holography by using a physics-driven neural network

H Zhou, X Li, H Wang, S Zhang, Z Su, Q Jiang… - Optics …, 2022 - opg.optica.org
Metasurfaces are promising platforms for integrated compact optical systems. Traditional
metasurface holography design algorithms are limited to information capacity due to finite …

Neural network-based design of two-focal-spot terahertz diffractive optical elements

P Komorowski, M Kurowska, M Kaluza… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
This article presents a convolutional neural network approach for the design and
optimization of single-input-multiple-output (SIMO) structures for the sub-terahertz spectral …

Diffractive deep neural networks: Theories, optimization, and applications

H Chen, S Lou, Q Wang, P Huang, H Duan… - Applied Physics …, 2024 - pubs.aip.org
Optical neural networks (ONN) are experiencing a renaissance, driven by the transformative
impact of artificial intelligence, as arithmetic pressures are progressively increasing the …

Terahertz Data Extraction and Analysis based on Deep Learning Techniques for Emerging Applications

M Gezimati, G Singh - IEEE Access, 2024 - ieeexplore.ieee.org
Following the recent progress in the development of Terahertz (THz) generation and
detection, THz technology is being widely used to characterize test sample properties in …

3-D-Printed Terahertz Metalenses for Next-Generation Communication and Imaging Applications

GB Wu, J Chen, C Yang, KF Chan… - Proceedings of the …, 2024 - ieeexplore.ieee.org
Three-dimensional (3-D) printing, also known as additive manufacturing, provides a novel
and cost-effective approach for implementing microwave devices. With the rapid …

Dynamic near-field and far-field radiation manipulation using a reprogrammable guided-wave-excited metasurface

S Peng, F Yang, H Zhang, ZY Fu, CX Liu, HY Lu… - Photonics …, 2024 - opg.optica.org
The dynamic and integrated control of near-and far-field electromagnetic waves is essential
for advancing emerging intelligent information technology. Metasurfaces, distinguished by …

An Enhanced Diffractive Neural Network for Metasurface Holograms with High Resolution, Low Noise, and Uniform Intensity

M Qu, K Zhang, J Su, Y Li, L Deng… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
In this paper, an enhanced diffractive neural network is proposed for achieving metasurface
holograms with high resolution, low noise, and uniform intensity. At first, we prove the …