Evidence map›Paper›PMID 37024508›Full record

ArticleNature communications2023

A two-dimensional mid-infrared optoelectronic retina enabling simultaneous perception and encoding.

Fakun Wang, Fangchen Hu, Mingjin Dai, Song Zhu, Fangyuan Sun, Ruihuan Duan, Chongwu Wang, Jiayue Han, Wenjie Deng, Wenduo Chen and 11 more

Erratum issuedAbstract read
In one paragraph

Article in Nature communications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing 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

35 citing papers in PubMed.

  1. Reconfigurable Optoelectronic Logic Gates Enabled by a VSeNanomaterials (Basel, Switzerland) · 2026
    Article
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  6. Progress in Strain Engineering of 2D-Integrated Heterostructures for Ultrasensitive Sensors.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Review
  7. Ferroelectric Devices for In-Memory and In-Sensor Computing.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Review
  8. Review
  9. A Broad-Band Self-Powered Photodetector Based on a MoTeMaterials (Basel, Switzerland) · 2026
    Article
  10. Review
  11. Article
  12. Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

21 authors.

Fakun Wang *School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore, 639798, Singapore.
Fangchen Hu *School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore, 639798, Singapore.
Mingjin DaiSchool of Electrical and Electronic Engineering, Nanyang Technological University, Singapore, 639798, Singapore.
Song ZhuSchool of Electrical and Electronic Engineering, Nanyang Technological University, Singapore, 639798, Singapore.
Fangyuan SunSchool of Electrical and Electronic Engineering, Nanyang Technological University, Singapore, 639798, Singapore.
Ruihuan DuanSchool of Materials Science and Engineering, Nanyang Technological University, Singapore, 639798, Singapore.ORCID http://orcid.org/0000-0003-4999-9735
Chongwu WangSchool of Electrical and Electronic Engineering, Nanyang Technological University, Singapore, 639798, Singapore.
Jiayue HanSchool of Electrical and Electronic Engineering, Nanyang Technological University, Singapore, 639798, Singapore.ORCID http://orcid.org/0000-0001-6154-9206
Wenjie DengSchool of Electrical and Electronic Engineering, Nanyang Technological University, Singapore, 639798, Singapore.
Wenduo ChenSchool of Electrical and Electronic Engineering, Nanyang Technological University, Singapore, 639798, Singapore.
Ming YeSchool of Electrical and Electronic Engineering, Nanyang Technological University, Singapore, 639798, Singapore.
Song HanSchool of Electrical and Electronic Engineering, Nanyang Technological University, Singapore, 639798, Singapore.
Bo QiangSchool of Electrical and Electronic Engineering, Nanyang Technological University, Singapore, 639798, Singapore.
Yuhao JinSchool of Electrical and Electronic Engineering, Nanyang Technological University, Singapore, 639798, Singapore.
Yunda ChuaSchool of Electrical and Electronic Engineering, Nanyang Technological University, Singapore, 639798, Singapore.
Nan ChiKey Laboratory for Information Science of Electromagnetic Waves (MoE), Fudan University, Shanghai, 200433, China.
Shaohua YuPeng Cheng Laboratory, Shenzhen, 518055, China.
Donguk NamSchool of Electrical and Electronic Engineering, Nanyang Technological University, Singapore, 639798, Singapore.
Sang Hoon ChaeSchool of Electrical and Electronic Engineering, Nanyang Technological University, Singapore, 639798, Singapore.ORCID http://orcid.org/0000-0002-9612-5371
Zheng LiuSchool of Materials Science and Engineering, Nanyang Technological University, Singapore, 639798, Singapore.ORCID http://orcid.org/0000-0002-8825-7198
Qi Jie WangSchool of Electrical and Electronic Engineering, Nanyang Technological University, Singapore, 639798, Singapore. qjwang@ntu.edu.sg.ORCID http://orcid.org/0000-0002-9910-1455

Funding

Agency for Science, Technology and Research (A*STAR) A18A7b0058Agency for Science, Technology and Research (A*STAR) A2090b0144MOH | National Medical Research Council (NMRC) 021528-00001National Natural Science Foundation of China (National Science Foundation of China) 61925104National Natural Science Foundation of China (National Science Foundation of China) 62031011National Research Foundation Singapore (National Research Foundation-Prime Minister's office, Republic of Singapore) NRF-CRP22-2019-0007
6 · The paper itself

Abstract

Infrared machine vision system for object perception and recognition is becoming increasingly important in the Internet of Things era. However, the current system suffers from bulkiness and inefficiency as compared to the human retina with the intelligent and compact neural architecture. Here, we present a retina-inspired mid-infrared (MIR) optoelectronic device based on a two-dimensional (2D) heterostructure for simultaneous data perception and encoding. A single device can perceive the illumination intensity of a MIR stimulus signal, while encoding the intensity into a spike train based on a rate encoding algorithm for subsequent neuromorphic computing with the assistance of an all-optical excitation mechanism, a stochastic near-infrared (NIR) sampling terminal. The device features wide dynamic working range, high encoding precision, and flexible adaption ability to the MIR intensity. Moreover, an inference accuracy more than 96% to MIR MNIST data set encoded by the device is achieved using a trained spiking neural network (SNN).

Identifiers

PMID37024508
PMCPMC10079931

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.