Evidence map›Paper›PMID 41025604›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2025

A Van Der Waals Broadband Infrared Optical Synapse Enabling Orientation Detection.

Dan Guo, Wenjing Li, Pingfan Gu, Weikang Dong, Xuyan Rui, Kenji Watanabe, Takashi Taniguchi, Yu Ye, Fawei Zheng, Jiadong Zhou and 1 more

Abstract read
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. A Van Der Waals Broadband Infrared Optical Synapse Enabling Orientation Detection.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    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

11 authors.

Dan GuoCentre for Quantum Physics, Key Laboratory of Advanced Optoelectronic Quantum Architecture and Measurement (MOE), School of Physics, Beijing Institute of Technology, Beijing, 100081, China.
Wenjing LiCentre for Quantum Physics, Key Laboratory of Advanced Optoelectronic Quantum Architecture and Measurement (MOE), School of Physics, Beijing Institute of Technology, Beijing, 100081, China.
Pingfan GuState Key Laboratory for Artificial Microstructure & Mesoscopic Physics and Frontiers Science Center for Nano-Optoelectronics School of Physics, Peking University, Beijing, 100871, China.
Weikang DongCentre for Quantum Physics, Key Laboratory of Advanced Optoelectronic Quantum Architecture and Measurement (MOE), School of Physics, Beijing Institute of Technology, Beijing, 100081, China.
Xuyan RuiCentre for Quantum Physics, Key Laboratory of Advanced Optoelectronic Quantum Architecture and Measurement (MOE), School of Physics, Beijing Institute of Technology, Beijing, 100081, China.
Kenji WatanabeNational Institute for Materials Science, 1-1 Namiki, Tsukuba, 303-0044, Japan.
Takashi TaniguchiNational Institute for Materials Science, 1-1 Namiki, Tsukuba, 303-0044, Japan.
Yu YeState Key Laboratory for Artificial Microstructure & Mesoscopic Physics and Frontiers Science Center for Nano-Optoelectronics School of Physics, Peking University, Beijing, 100871, China.
Fawei ZhengCentre for Quantum Physics, Key Laboratory of Advanced Optoelectronic Quantum Architecture and Measurement (MOE), School of Physics, Beijing Institute of Technology, Beijing, 100081, China.
Jiadong ZhouCentre for Quantum Physics, Key Laboratory of Advanced Optoelectronic Quantum Architecture and Measurement (MOE), School of Physics, Beijing Institute of Technology, Beijing, 100081, China.
Shoujun ZhengCentre for Quantum Physics, Key Laboratory of Advanced Optoelectronic Quantum Architecture and Measurement (MOE), School of Physics, Beijing Institute of Technology, Beijing, 100081, China.ORCID https://orcid.org/0000-0002-5290-7857

Funding

Beijing Institute of Technology Research Fund Program for Young ScholarsBeijing Natural Science Foundation of China L233003National Key Research and Development Program of China 2022YFA1203904Natural Science Foundation of China 62375018Program of Beijing Institute of Technology 3180021502353
6 · The paper itself

Abstract

A vision system with efficient infrared-sensitive optical synapses is crucial for enabling infrared radiation detection and target recognition for some predators hunting in the dark. Current 2D synaptic devices typically adopt the strategy of charge trap and release to achieve intelligent sensing and visual recognition. However, the response wavelength is limited in a narrow range (typically in visible) due to the intrinsic bandgap of these 2D materials. In this work, a broadband infrared optoelectronic synaptic device based on a few-layer graphene/CrOCl/few-layer graphene van der Waals (vdW) heterostructure is reported, featuring tunable spike timing-dependent plasticity and a broadband response range from the visible to the infrared (520-2000 nm). The broadband synaptic response in the tunneling device is attributed to the modulation of the tunneling barrier by strong interfacial coupling and charge transfer-induced long-wavelength charge order at the vdW interface. Integrated with reservoir computing technique, the tunneling device can efficiently detect images in different orientations, achieving a recognition accuracy exceeding 98%, and judge the possible escape directions of a mouse. This work not only allows us to explore broadband optical synapses by controlling the vdW interfacial coupling but also offers a promising solution for developing advanced infrared detection systems.

Indexed as

2D materialsinfrared optical synapseinterlayer couplingorientation detectionvan der Waals heterostructure

Identifiers

PMID41025604
PMCPMC12752591

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.