Evidence map›Paper›PMID 42117974›Full record

ArticleNanomaterials (Basel, Switzerland)2026

Achieving Achromatic and Misalignment-Tolerant Fiber Coupling via Meta-Lens with Structural Interleaving.

Xinlie Yuan, Zhenhuan Tian, Ben Jia, Yong Zhang, Yong Zhou, Changfei Hu, Qijian Xu, Feng Yun

Abstract read
In one paragraph

Article in Nanomaterials (Basel, Switzerland), 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

8 authors.

Xinlie YuanShaanxi Provincial Key Laboratory of Photonics & Information Technology, Xi'an Jiaotong University, Xi'an 710049, China.
Zhenhuan TianShaanxi Provincial Key Laboratory of Photonics & Information Technology, Xi'an Jiaotong University, Xi'an 710049, China.
Ben JiaShaanxi Provincial Key Laboratory of Photonics & Information Technology, Xi'an Jiaotong University, Xi'an 710049, China.
Yong ZhangWuhan Huagong Genuine Optics Technology Co., Ltd., Wuhan 430223, China.
Yong ZhouWuhan Huagong Genuine Optics Technology Co., Ltd., Wuhan 430223, China.
Changfei HuWuhan Huagong Genuine Optics Technology Co., Ltd., Wuhan 430223, China.
Qijian XuWuhan Huagong Genuine Optics Technology Co., Ltd., Wuhan 430223, China.
Feng YunShaanxi Provincial Key Laboratory of Photonics & Information Technology, Xi'an Jiaotong University, Xi'an 710049, China.

Funding

The National Key Research and Development Program of China No.2024YFF0504900
6 · The paper itself

Abstract

This paper addresses the chromatic aberration and off-axis collimation issues in the laser-lens-fiber coupling system by proposing a chromatic aberration-corrected Meta-lens design based on a particle swarm optimization algorithm and structural interleaving method. By establishing an optimization model that includes wavelength-dependent phase factors, achromatic performance with a focal length standard deviation of less than 0.4 μm is achieved in the 1260-1360 nm band. Innovatively, the structural interleaving technique is adopted to integrate multiple different phase distributions into a single meta-surface, keeping the coupling efficiency fluctuation within 8% over a ±1 μm off-axis displacement range. The research results demonstrate that this method effectively solves the phase quantization and dispersion matching challenges of large-scale meta-lens, achieving a phase matching efficiency of 95.2%, providing a feasible path for the engineering application of highly robust meta-lens in high-precision optical systems.

Indexed as

achromatic designanti-displacement performancemeta-lensparticle swarm optimizationphase matchingstructural interleaving

Identifiers

PMID42117974
PMCPMC13164942

What OpenQuestion holds

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Registered trials

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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.