Evidence map›Paper›PMID 42890094›Full record

ArticleNanophotonics (Berlin, Germany)2026

Polarization-Independent Single-Band Guided-Mode Resonance InGaAs Photodetector Array for Snapshot Multispectral Sensing.

Junho Jang, Hosang Hwang, SangHyeon Kim

Abstract read
In one paragraph

Article in Nanophotonics (Berlin, 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

3 authors.

Junho JangSchool of Electrical Engineering Korea Advanced Institute of Science and Technology (KAIST) Daejeon Republic of Korea.ORCID https://orcid.org/0009-0009-4730-1453
Hosang HwangSchool of Electrical Engineering Korea Advanced Institute of Science and Technology (KAIST) Daejeon Republic of Korea.
SangHyeon KimSchool of Electrical Engineering Korea Advanced Institute of Science and Technology (KAIST) Daejeon Republic of Korea.ORCID https://orcid.org/0000-0002-2517-4408

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Multispectral sensing in the short-wave infrared (SWIR) range is highly desirable for a wide range of applications, from industrial inspection to satellite remote sensing. Here, we report a single-band guided-mode resonance (GMR) InGaAs photodetector (PD) array that enables single-snapshot multispectral sensing through direct readout from each pixel. The device consists of an InGaAs PD with an ultrathin absorption layer bonded onto a Si 2D grating. Although a 2D crossed-grating provides polarization independence, it inherently supports many more optical modes than a 1D grating. To realize a single-band response, we introduce design strategies that suppress higher-order diffraction using a thin grating and eliminate undesired modes by positioning their diffraction angles near the critical angle. The device exhibited a single-band spectral response over a broad wavelength range of 1100-1700 nm, peak responsivities of up to 0.451 A/W, off-peak responsivities below 0.03 A/W, and complete polarization independence. Moreover, a multispectral pixel array can be fabricated using a single patterning step by varying the grating period. We verified the feasibility of snapshot multispectral sensing through area-scan imaging measurements under various input conditions. These results, together with the fabrication simplicity, establish the proposed device as a promising platform for compact, real-time SWIR multispectral sensors.

Indexed as

2D gratingguided‐mode resonanceInGaAs photodetectormultispectral sensingshort‐wave infrared

Identifiers

PMID42890094
PMCPMC13672166

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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.