Results 141 to 150 of about 21,242 (251)

Unidirectional Far‐Field Radiation of Surface Waves by On‐Chip Achromatic Metasurfaces

open access: yesNanophotonics, Volume 15, Issue 7, 13 April 2026.
Converting surface waves to unidirectional far‐field beams is essential for on‐chip photonics, but traditional couplers often suffer from inefficiency and frequency dispersion. This work experimentally demonstrates the concept of on‐chip achromatic metasurfaces, which can efficiently decouple broadband surface waves into unidirectional far‐field beams.
Haodong Li   +3 more
wiley   +1 more source

Broadband THz Molecular Fingerprinting Enabled by Brillouin Zone Folded Quasi‐BICs in Plasmonic Metasurfaces

open access: yesNanophotonics, Volume 15, Issue 8, 24 April 2026.
A broadband terahertz fingerprint metasensor is proposed based on Brillouin zone folding‐driven quasi‐bound states in the continuum. By establishing a distributed array of high‐Q resonant probes, this sensor achieves a 14‐fold sensitivity enhancement and enables high‐fidelity retrieval of molecular fingerprints across 0.3–0.8 THz, offering a versatile ...
Yihan Xu   +4 more
wiley   +1 more source

Hybrid Metalens–Compressive Sensing Imaging System for Ultra‐Low‐Power Edge Detection

open access: yesNanophotonics, Volume 15, Issue 8, 24 April 2026.
We propose an ultra‐low‐power edge detection imaging system through the combination of a spiral metalens and a compressive sensor. By moving the edge detection to a passive optical element, not only is the required power reduced but also the encoded edge image provides rich high‐frequency information, which provides high‐fidelity image reconstruction ...
Sejin Yoon   +3 more
wiley   +1 more source

Dynamic One‐Dimensional Beam Shaping via a Mechanically Tunable Bilayer Metasurface

open access: yesNanophotonics, Volume 15, Issue 8, 24 April 2026.
We propose a generalized method for designing a bilayer metasurface for mechanically tuning one‐dimensional beams. The lateral displacement between layers directly affects the final phase profile of the system, thereby modulating the beam characteristics. Orthogonal decoupling of the modulation and wavefront shaping enables simple and versatile 1D beam
Jun Seok Yoon   +5 more
wiley   +1 more source

Fundamental Building Blocks for Scalable Photonic Programmable Processors

open access: yesNanophotonics, Volume 15, Issue 8, 24 April 2026.
Silicon photonic programmable processors are advanced through the optimisation and experimental validation of key building blocks, including splitters, phase shifters and crossings. In this work, their scalability is experimentally demonstrated at the wafer scale, and their circuit‐level impact is showcased in a high‐speed 4 × 4 optical switch ...
Cristina Gómez‐Hidalgo   +11 more
wiley   +1 more source

OH Airglow for Ionospheric Seismology Applications—From Instrumental Noise Characterization to Rayleigh Waves Detection Threshold

open access: yesJournal of Geophysical Research: Space Physics, Volume 131, Issue 4, April 2026.
Abstract Airglow layers are powerful tracers of upper‐atmosphere dynamics because of their sensitivity to a broad spectrum of atmospheric wave phenomena. Seismic activity, and in particular Rayleigh waves, constitutes a forcing mechanism capable of generating infrasonic waves in the atmosphere.
P.‐Y. Froissart   +4 more
wiley   +1 more source

Algorithms for Wavefront Reconstruction

open access: yes, 2005
Knowing the solution to Helmholtz equation in a narrow band, with a width of order wave length around a scatterer, we investigate the possibility to construct the wave fronts predicted by the asymptotic methods Geometrical Optics (GO) and Geometrical Theory of Diffraction (GTD).
openaire   +1 more source

An Effective Physics‐Informed Neural Operator Framework for Predicting Wavefields

open access: yesJournal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 2, April 2026.
Abstract Solving the wave equation is fundamental for many geophysical applications. However, numerical solutions of the Helmholtz equation face significant computational and memory challenges. Therefore, we introduce a physics‐informed convolutional neural operator (CNO) (PICNO) to solve the Helmholtz equation efficiently.
X. Ma, T. Alkhalifah
wiley   +1 more source

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