Evidence map›Paper›PMID 39247298›Full record

ArticleHeliyon2024

Composite scattering characteristics analysis of micro-ellipsoidal periodic structure optical surface and microdefects.

Zhi-Qiang Yang, Juan Chen, Li-Guo Wang, Li-Hong Yang, Yao Li, Zhen-Sen Wu, Lei Gong

Abstract read
In one paragraph

Article in Heliyon, 2024. 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

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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

7 authors.

Zhi-Qiang YangSchool of Photoelectrical Engineering, Xi'an Technological University, shaanxi 710021, China.
Juan ChenSchool of Photoelectrical Engineering, Xi'an Technological University, shaanxi 710021, China.
Li-Guo WangSchool of Photoelectrical Engineering, Xi'an Technological University, shaanxi 710021, China.
Li-Hong YangSchool of Photoelectrical Engineering, Xi'an Technological University, shaanxi 710021, China.
Yao LiSchool of Photoelectrical Engineering, Xi'an Technological University, shaanxi 710021, China.
Zhen-Sen WuSchool of Physics and Optoelectronic Engineering, Xidian University, Xi'an, shaanxi 710016, China.
Lei GongSchool of Photoelectrical Engineering, Xi'an Technological University, shaanxi 710021, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In order to adjust and detect micro-nano periodic structure optical surface accurately and efficiently, the problem of composite scattering between micro-ellipsoidal periodic structure optical surface and pore defects is studied use the multi-resolution time domain (MRTD) approach. A calculation model is established for the intensity distribution of composite scattering, which is modulated by the micro-ellipsoidal periodic structure optical surface and microdefects. Results are in good agreement with those obtained using CST Microwave Studio software and the finite-different time-domain (FDTD) approach, which demonstrates the effectiveness of the calculation model and method. By combining the field distribution of the micro-ellipsoidal periodic structure optical surface containing microdefects with the optical response at different wavelengths, it is necessary to study the influence of various parameters of the micro-ellipsoidal structure and microdefects on the optical system of metamaterials. The effects of the parameters such as roughness, structure of micro-ellipsoidal unit, defect sizes and buried depths on the composite scattering characteristics are analyzed numerically. The results provide technical support for the fields of functional surface design, ultrasensitive detection, scattering peak orientation and frequency selection.

Indexed as

Field distributionLight scatteringMicrodefectsMicro-ellipsoidal periodic structure optical surface

Identifiers

PMID39247298
PMCPMC11379595

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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.