Evidence map›Paper›PMID 41616096›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2026

Infrared Machine Vision System Based on Te NWs-Au NPs Plasmonic Optoelectronic Memristor for Motion Detection.

Jingyao Bian, Yongxing Zhu, Ye Tao, Zhongqiang Wang, Xiaoning Zhao, Ya Lin, Haiyang Xu, Yichun Liu

Abstract read
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, 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

8 authors.

Jingyao BianState Key Laboratory of Integrated Optoelectronics, Ministry of Education, Key Laboratory for UV Light-Emitting Materials and Technology (Northeast Normal University), Changchun, P. R. China.
Yongxing ZhuState Key Laboratory of Integrated Optoelectronics, Ministry of Education, Key Laboratory for UV Light-Emitting Materials and Technology (Northeast Normal University), Changchun, P. R. China.
Ye TaoState Key Laboratory of Integrated Optoelectronics, Ministry of Education, Key Laboratory for UV Light-Emitting Materials and Technology (Northeast Normal University), Changchun, P. R. China.
Zhongqiang WangState Key Laboratory of Integrated Optoelectronics, Ministry of Education, Key Laboratory for UV Light-Emitting Materials and Technology (Northeast Normal University), Changchun, P. R. China.ORCID https://orcid.org/0000-0002-1133-6058
Xiaoning ZhaoState Key Laboratory of Integrated Optoelectronics, Ministry of Education, Key Laboratory for UV Light-Emitting Materials and Technology (Northeast Normal University), Changchun, P. R. China.
Ya LinState Key Laboratory of Integrated Optoelectronics, Ministry of Education, Key Laboratory for UV Light-Emitting Materials and Technology (Northeast Normal University), Changchun, P. R. China.
Haiyang XuState Key Laboratory of Integrated Optoelectronics, Ministry of Education, Key Laboratory for UV Light-Emitting Materials and Technology (Northeast Normal University), Changchun, P. R. China.
Yichun LiuState Key Laboratory of Integrated Optoelectronics, Ministry of Education, Key Laboratory for UV Light-Emitting Materials and Technology (Northeast Normal University), Changchun, P. R. China.

Funding

Jilin Province 20240210001GXNational Key R&D Program of China 2023YFB4402303National Natural Science Foundation of China 51732003National Natural Science Foundation of China 52072065National Natural Science Foundation of China 52372137National Natural Science Foundation of China 52472149National Natural Science Foundation of China U23A20568National Science Fund for Distinguished Young Scholars 52025022Open Fund of the State Key Laboratory of Integrated OptoelectronicsScientific Research Innovation Capability Support Project for Young Faculty ZYGXQNJSKYCXNLZCXM-I10
6 · The paper itself

Abstract

Infrared (IR) machine vision systems have advanced significantly in a range of applications, including autonomous driving, security monitoring, and intelligent night vision. Despite advances in optoelectronic memristors by mixed optical and electrical operation, achieving infrared-specific fully light-modulated vision systems remains challenging. Here, we demonstrate a plasmonic optoelectronic memristor based on Te nanowires-Au nanoparticles/ι-carrageenan film. Localized surface plasmon resonanceassisted optical excitation endows the device with non-volatile, IR-programmable conductance states that can be selectively erased by visible light, yielding an all-photonic write/erase scheme without electrical intervention. Exploiting this reversible photonic plasticity, we construct an IR vision system capable of in-sensor Boolean logic and motion detection under complete darkness. An optical neural network trained on the reversible conductance dynamics attains 91.4% recognition accuracy for moving objects. This work proposes a fully light-modulated optoelectronic memristor that may promote the future development of efficient IR machine vision systems.

Indexed as

Au nanoparticlesinfrared vision systemlocalized surface plasmon resonanceoptoelectronic memristorTe nanowires

Identifiers

PMID41616096
PMCPMC13067755

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.