Evidence map›Paper›PMID 39634957›Full record

ArticleNanophotonics (Berlin, Germany)2024

Ultrathin Ge-YF

Jae-Seon Yu, Serang Jung, Jin-Woo Cho, Geon-Tae Park, Mikhail Kats, Sun-Kyung Kim, Eungkyu Lee

Abstract read
In one paragraph

Article in Nanophotonics (Berlin, Germany), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
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.

Jae-Seon YuDepartment of Applied Physics, Kyung Hee University, Yongin-Si, Gyonggi-Do, 17104, Republic of Korea.
Serang JungDepartment of Electronic Engineering, Kyung Hee University, Yongin-Si, Gyonggi-Do, 17104, Republic of Korea.
Jin-Woo ChoDepartment of Electrical and Computer Engineering, University of Wisconsin-Madison, Madison, WI, 53706, USA.
Geon-Tae ParkDepartment of Applied Physics, Kyung Hee University, Yongin-Si, Gyonggi-Do, 17104, Republic of Korea.
Mikhail KatsDepartment of Electrical and Computer Engineering, University of Wisconsin-Madison, Madison, WI, 53706, USA.ORCID https://orcid.org/0000-0003-4897-4720
Sun-Kyung KimDepartment of Applied Physics, Kyung Hee University, Yongin-Si, Gyonggi-Do, 17104, Republic of Korea.ORCID https://orcid.org/0000-0002-0715-0066
Eungkyu LeeDepartment of Electronic Engineering, Kyung Hee University, Yongin-Si, Gyonggi-Do, 17104, Republic of Korea.ORCID https://orcid.org/0000-0002-0211-0727

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Achieving long-wavelength infrared (LWIR) cameras with high sensitivity and shorter exposure times faces challenges due to series reflections from high-refractive index lenses within compact optical systems. However, designing effective antireflective coatings to maximize light throughput in these systems is complicated by the limited range of transparent materials available for the LWIR. This scarcity narrows the degrees of freedom in design, complicating the optimization process for a system that aims to minimize the number of physical layers and address the inherent large refractive mismatch from high-index lenses. In this study, we use discrete-to-continuous optimization to design a subwavelength-thick antireflective multilayer coating on high-refractive index Si substrate for LWIR cameras, where the coating consists of few (e.g., five) alternating stacks of high- and low-refractive-index thin films (e.g., Ge-YF

Indexed as

antireflective coatingbinary optimizationdiscrete optimizationlong-wavelength infrared camerasmultilayer coating

Identifiers

PMID39634957
PMCPMC11501071

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.