Evidence map›Paper›PMID 40796735›Full record

ArticleLight, science & applications2025

A dual-mode transparent device for 360° quasi-omnidirectional self-driven photodetection and efficient ultralow-power neuromorphic computing.

Min Jiang, Yukun Zhao, Tong Liu, Yanyan Chang, Yuan Tang, Min Zhou, Yiping Shi, Jianya Zhang, Lifeng Bian, Shulong Lu

Abstract read
In one paragraph

Article in Light, science & applications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Photonic-Enabled Energy-Efficient Transparent Neuromorphic Computing Devices: A Review.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Review
  4. Article
  5. 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

10 authors.

Min JiangSchool of Nano-Tech and Nano-Bionics, University of Science and Technology of China (USTC), Hefei, 230026, China.
Yukun ZhaoSchool of Nano-Tech and Nano-Bionics, University of Science and Technology of China (USTC), Hefei, 230026, China. ykzhao2017@sinano.ac.cn.ORCID http://orcid.org/0000-0002-4071-4265
Tong LiuVacuum Interconnected Nanotech Workstation, SINANO, CAS, Suzhou, 215123, China.
Yanyan ChangDivision of Nano-Devices Research, Suzhou Institute of Nano-Tech and Nano-Bionics (SINANO), Chinese Academy of Sciences (CAS), Suzhou, 215123, China.
Yuan TangKey Laboratory of Intelligent Optoelectronic Devices and Chips of Jiangsu Higher Education Institutions, School of Physical Science and Technology, Suzhou University of Science and Technology, Suzhou, 215009, China.
Min ZhouDivision of Nano-Devices Research, Suzhou Institute of Nano-Tech and Nano-Bionics (SINANO), Chinese Academy of Sciences (CAS), Suzhou, 215123, China.
Yiping ShiKey Laboratory of Intelligent Optoelectronic Devices and Chips of Jiangsu Higher Education Institutions, School of Physical Science and Technology, Suzhou University of Science and Technology, Suzhou, 215009, China.
Jianya ZhangKey Laboratory of Intelligent Optoelectronic Devices and Chips of Jiangsu Higher Education Institutions, School of Physical Science and Technology, Suzhou University of Science and Technology, Suzhou, 215009, China. jyzhang2022@usts.edu.cn.
Lifeng BianFrontier Institute of Chip and System, Fudan University, Shanghai, 200433, China. lfbian@fudan.edu.cn.
Shulong LuSchool of Nano-Tech and Nano-Bionics, University of Science and Technology of China (USTC), Hefei, 230026, China. sllu2008@sinano.ac.cn.

Funding

China Postdoctoral Science Foundation 2023M742560National Natural Science Foundation of China (National Science Foundation of China) 62174172
6 · The paper itself

Abstract

Due to the extremely high manufacturing standards, the integration of quasi-omnidirectional photodetectors and synaptic devices within a single device remains a long-standing challenge. In this work, we have designed a graphene/(Al,Ga)N nanowire heterojunction, demonstrating the monolithic integration of self-driven 360° photodetectors and artificial synapses in a dual-mode transparent device successfully. By manipulating the carrier transport dynamics through controlling the bias voltage, the degree of oxygen vacancy ionization can be precisely regulated, ultimately realizing the monolithic dual-mode device. At 0 V bias, the device functions as a fast-response self-driven photodetector with stable optical communication capabilities, achieving 360° quasi-omnidirectional photodetection. Upon applying a bias voltage, the operating mode switches to a synaptic device, which successfully simulates brain-like paired-pulse facilitation, short-/long-term plasticity processes, and learning/forgetting behaviors. The device demonstrates an exceptionally high UV/visible rejection ratio of 1.29 × 10

Identifiers

PMID40796735
PMCPMC12343816

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.