Evidence map›Paper›PMID 42345333›Full record

ArticleSmall (Weinheim an der Bergstrasse, Germany)2026

High-Efficiency Generation of Vectorial Terahertz Beams via Surface-Wave-Excited Dielectric Metasurfaces.

Yu He, Yuanxi Liu, Yao Yao, Qingnan Cai, Dumeng Zhang, Xiangyu Jin, Shulin Sun, Zhuo Wang, Lei Zhou

Abstract read
In one paragraph

Article in Small (Weinheim an der Bergstrasse, Germany), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Yu HeState Key Laboratory of Surface Physics, Shanghai Key Laboratory of Metasurfaces for Light Manipulation and Department of Physics, Key Laboratory of Micro and Nano Photonic Structures (Ministry of Education), Fudan University, Shanghai, China.
Yuanxi LiuState Key Laboratory of Surface Physics, Shanghai Key Laboratory of Metasurfaces for Light Manipulation and Department of Physics, Key Laboratory of Micro and Nano Photonic Structures (Ministry of Education), Fudan University, Shanghai, China.
Yao YaoState Key Laboratory of Surface Physics, Shanghai Key Laboratory of Metasurfaces for Light Manipulation and Department of Physics, Key Laboratory of Micro and Nano Photonic Structures (Ministry of Education), Fudan University, Shanghai, China.
Qingnan CaiState Key Laboratory of Surface Physics, Shanghai Key Laboratory of Metasurfaces for Light Manipulation and Department of Physics, Key Laboratory of Micro and Nano Photonic Structures (Ministry of Education), Fudan University, Shanghai, China.
Dumeng ZhangState Key Laboratory of Surface Physics, Shanghai Key Laboratory of Metasurfaces for Light Manipulation and Department of Physics, Key Laboratory of Micro and Nano Photonic Structures (Ministry of Education), Fudan University, Shanghai, China.
Xiangyu JinCollege of Future Information Technology, Fudan University Shanghai, Shanghai, China.
Shulin SunCollege of Future Information Technology, Fudan University Shanghai, Shanghai, China.
Zhuo WangState Key Laboratory of Surface Physics, Shanghai Key Laboratory of Metasurfaces for Light Manipulation and Department of Physics, Key Laboratory of Micro and Nano Photonic Structures (Ministry of Education), Fudan University, Shanghai, China.ORCID https://orcid.org/0000-0002-4886-0021
Lei ZhouState Key Laboratory of Surface Physics, Shanghai Key Laboratory of Metasurfaces for Light Manipulation and Department of Physics, Key Laboratory of Micro and Nano Photonic Structures (Ministry of Education), Fudan University, Shanghai, China.

Funding

National Key Research and Development Program of China 2022YFA1204700National Natural Science Foundation of China 12221004National Natural Science Foundation of China 12474306National Natural Science Foundation of China 12504436National Natural Science Foundation of China 62192771Natural Science Foundation of Shanghai 23xtcx00400Natural Science Foundation of Shanghai 25ZR1402026
6 · The paper itself

Abstract

Generating pre-designed vectorial beams via on-chip devices can yield many fascinating applications, but traditional diffraction-based devices are bulky and inefficient. While plasmonic metasurfaces exhibit ultra-compact sizes and deep-subwavelength resolutions, their working efficiencies are limited by metallic losses. Here, we propose a generic design for highly efficient, ultra-compact dielectric metasurfaces that generate tailored vectorial beams under surface-wave (SW) excitations, experimentally validated in the terahertz (THz) regime. We first experimentally characterize the basic dielectric meta-atom, and then demonstrate a benchmark meta-device that, under the SW excitation, can generate a circularly polarized focused beam. We next realize two dielectric meta-devices, each consisting of two subsets of meta-atoms responsible for generating two pre-designed circularly polarized beams with opposite helicity, with their interference forming the target vectorial beams. Our experiments show that these two meta-devices can generate an azimuthally polarized Bessel beam and a vectorial multifocal holographic image, respectively. We experimentally show that the present dielectric meta-system exhibits significant improvement in the relevant frequency band compared to its metallic counterpart, and numerically demonstrate that it exhibits an absolute working efficiency as high as 92%. Our study paves the way to realize many on-chip applications with high efficiencies, such as biological sensing, displays, image multiplexing, and beyond.

Indexed as

dielectrichigh‐efficiencymulti‐pixel metasurfacesurface wavesterahertzvector beam

Identifiers

PMID42345333
PMCPMC13485009

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.