Diffractive Magic Cube Network with Super-high Capacity Enabled by Mechanical Reconfiguration DOI Creative Commons

Peijie Feng,

F. Liu,

Yuanfeng Liu

et al.

Research Square (Research Square), Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 26, 2025

Abstract Multiplexing and dynamic reconfigurable metasurfaces have been extensively studied to enhance optical system capacity in response the challenges posed by exponential growth of information. Among them, mechanically strategy offers a cost-effective low-complexity approach for enhancement. However, channel numbers achieved current studies are insufficient practical applications because inadequate mechanical transformations suboptimal optimization methods. In this article, diffractive magic cube network (DMCN) is proposed advance multiplexing metasurfaces. We utilized deep neural (D2NN) model jointly optimize subset channels generated combination three operations, permutation, translation, rotation. The 144-channel holograms, 108-channel single-focus/multi-focus, 60-channel orbital angular momentum (OAM) beam/comb generation were numerically experimentally validated using spatial light modulator (SLM) reflective mirror. Our not only provides novel paradigm improve metasurface super-high level with low crosstalk, but also paves way new advancements storage, computing, communication, photolithography.

Language: Английский

All-dielectric bifocal metalens with diffraction-limited focusing and polarization-dependent characteristics DOI

X. Gao,

Yuxin Liu, Hao Chen

et al.

International Journal of Mechanical Sciences, Journal Year: 2025, Volume and Issue: unknown, P. 109916 - 109916

Published: Jan. 1, 2025

Language: Английский

Citations

4

Enhancement of tin-doping on the structural, electrical, and optical properties of copper oxide thin films for optoelectronic applications DOI

Isra Stambouli,

Madiha Zerouali,

R. Daïra

et al.

Ceramics International, Journal Year: 2025, Volume and Issue: 51(13), P. 17689 - 17703

Published: Feb. 1, 2025

Language: Английский

Citations

3

Non‐Interleaved Shared‐Aperture Full‐Stokes Metalens via Prior‐Knowledge‐Driven Inverse Design DOI
Yuzhong Wang, Yifei Wang,

Axiang Yu

et al.

Advanced Materials, Journal Year: 2024, Volume and Issue: unknown

Published: Nov. 25, 2024

Characterization of electromagnetic wave polarization states is critical in various applications materials, biomedical, and imaging. The emergence metasurfaces opens up the possibility implementing highly integrated full-Stokes imagers. Despite rapid development, prevailing schemes on metasurface-based imagers require interleaved or cascaded designs, inevitably resulting performance deterioration, bulky size, complicating imaging procedure due to misalignment. To overcome these challenges, a non-interleaved shared-aperture metalens enabled by prior-knowledge-driven inverse design methodology proposed. can be directly deployed into imagers, performing high-accuracy diffraction-limited without other ancillary components, breaking intrinsic constraints efficiency resolution design. demonstrate this, W-band passive system, as an alternative solution, perform polarimetric imaging, which reduces reliance high cost complexity ortho-mode transducer broadband correlator traditional radiometers. Furthermore, with assistance 3D reconstruction method, feasibility multi-polarization information for contactless surface slope measurements explored. This work may open new paradigms imager designing broaden metasurface

Language: Английский

Citations

18

Highly-efficient full-color holographic movie based on silicon nitride metasurface DOI Creative Commons

Masakazu Yamaguchi,

Hiroki Saito, Satoshi Ikezawa

et al.

Nanophotonics, Journal Year: 2024, Volume and Issue: 13(8), P. 1425 - 1433

Published: Jan. 19, 2024

Abstract Metasurface holograms offer various advantages, including wide viewing angle, small volume, and high resolution. However, full-color animation of high-resolution images has been a challenging issue. In this study, dielectric metasurface holographic movie with resolution 2322 × was achieved by spatiotemporally multiplexing 30 frames blue, green, red color channels at the wavelengths 445 nm, 532 633 nm maximum reconstruction speed 55.9 per second. The average transmittance diffraction efficiency 92.0 % 72.7 %, respectively, in visible range, were adopting polarization-independent silicon nitride waveguide meta-atoms, resulting reproducibility. superposition three adjusting resolutions positions target for each wavelength while maintaining meta-atom pitch constant. improvement brought about optimization etching conditions to form high-aspect vertical nanopillar structures.

Language: Английский

Citations

10

Hetero-layered 2D materials: Scalable preparation and energy applications DOI
Lê Văn Cường,

Minseong Ju,

Thi Thuong Thuong Nguyen

et al.

Materials Science and Engineering R Reports, Journal Year: 2025, Volume and Issue: 163, P. 100937 - 100937

Published: Jan. 28, 2025

Language: Английский

Citations

2

Tuning synthesis temperature spectrum to unlock multifunctional potential in multi-walled carbon nanotubes for EMI shielding and optical applications DOI
Kamil Kayode Katibi, Raba′ah Syahidah Azis, Ibrahim Garba Shitu

et al.

Journal of Industrial and Engineering Chemistry, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 1, 2025

Language: Английский

Citations

2

The optoelectronic, phonon, structural and thermoelectric attributes of full-Heusler Te2AcGa alloy: a DFT approach DOI
Junaid Munir, Saif M. H. Qaid,

Faiza Firdous

et al.

Multidiscipline Modeling in Materials and Structures, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 26, 2025

Purpose To determine the electrical, structural, optical and transport properties calculated using WIEN2k code. Design/methodology/approach By employing code, we have theoretically examined physical of full-Heusler Te 2 AcGa alloy. The FP-LAPW technique is utilized for theoretical calculations. Findings An indirect bandgap 0.42 eV seen with GGA potential. enhancement in a value 0.97 observed mBJ density states determined to verify band structure profile. dynamical structural stability attained through computations. electron contour plot explore bonding nature compound. Optical been respective potentials showing significant absorption visible region. Furthermore, thermoelectric evaluated confirm potential devices. At elevated temperatures, ZT obtained large 0.8. Research limitations/implications High values make 2AcGa alloy optoelectronic renewable energy Originality/value In submitted manuscript, first principle calculations are carried out time study dynamic, electronic, Modified Becke–Johnson (mBJ) exchange-correlation provides very accurate results. profiles related present work. entire work gives useful results fundamental importance, which can be fabrication applications.

Language: Английский

Citations

2

Pressure-induced modifications in the structural, thermodynamic, electronic, optical and mechanical attributes of CaTiF6 perovskite halide for optoelectronic applications DOI
Hudabia Murtaza, Junaid Munir,

Quratul Ain

et al.

Solar Energy, Journal Year: 2025, Volume and Issue: 290, P. 113360 - 113360

Published: March 2, 2025

Language: Английский

Citations

2

Exploring the structural basis of crystals that affect nonlinear optical responses: an experimental and machine learning quest DOI

Abrar U. Hassan,

Cihat Güleryüz, Islam H. El Azab

et al.

Optical Materials, Journal Year: 2025, Volume and Issue: 160, P. 116783 - 116783

Published: Feb. 6, 2025

Language: Английский

Citations

1

Diffractive deep neural networks: Theories, optimization, and applications DOI
Haijia Chen,

Shaozhen Lou,

Quan Wang

et al.

Applied Physics Reviews, Journal Year: 2024, Volume and Issue: 11(2)

Published: June 1, 2024

Optical neural networks (ONN) are experiencing a renaissance, driven by the transformative impact of artificial intelligence, as arithmetic pressures progressively increasing demand for optical computation. Diffractive deep (D2NN) important subclass ONN, providing novel architecture computation with trained diffractive layers. Given that D2NN directly process light waves, they inherently parallelize multiple tasks and reduce data processing latency, positioning them promising technology future computing applications. This paper begins brief review evolution ONN concept D2NN, followed detailed discussion theoretical foundations, model optimizations, application scenarios D2NN. Furthermore, analyzing current technical limitations, this provides an evidence-based prediction trajectory outlines roadmap research development efforts to unlock its full potential.

Language: Английский

Citations

8