Evidence map›Paper›PMID 35304489›Full record

ArticleNature communications2022

Programmable black phosphorus image sensor for broadband optoelectronic edge computing.

Seokhyeong Lee, Ruoming Peng, Changming Wu, Mo Li

Abstract read
In one paragraph

Article in Nature communications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 65 papers.

0numbers the graph read from it
0cells of the map it votes in
65citing 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

65 citing papers in PubMed.

  1. Gate-Tunable Polarity-Reconfigurable Photovoltaic Response With Dual Linearity in NbSAdvanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
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  20. Novel Optoelectronic Reconfigurable Transistors Based on Graphene/VOAdvanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Article

5 more citing papers are in PubMed but not listed here.

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

4 authors.

Seokhyeong Lee *Department of Electrical and Computer Engineering, University of Washington, Seattle, WA, 98195, USA.
Ruoming Peng *Department of Electrical and Computer Engineering, University of Washington, Seattle, WA, 98195, USA. pruoming@uw.edu.ORCID http://orcid.org/0000-0003-0910-2866
Changming WuDepartment of Electrical and Computer Engineering, University of Washington, Seattle, WA, 98195, USA.
Mo LiDepartment of Electrical and Computer Engineering, University of Washington, Seattle, WA, 98195, USA. moli96@uw.edu.ORCID http://orcid.org/0000-0002-5500-0900

Funding

National Science Foundation (NSF) DMR-1719797
6 · The paper itself

Abstract

Image sensors with internal computing capability enable in-sensor computing that can significantly reduce the communication latency and power consumption for machine vision in distributed systems and robotics. Two-dimensional semiconductors have many advantages in realizing such intelligent vision sensors because of their tunable electrical and optical properties and amenability for heterogeneous integration. Here, we report a multifunctional infrared image sensor based on an array of black phosphorous programmable phototransistors (bP-PPT). By controlling the stored charges in the gate dielectric layers electrically and optically, the bP-PPT's electrical conductance and photoresponsivity can be locally or remotely programmed with 5-bit precision to implement an in-sensor convolutional neural network (CNN). The sensor array can receive optical images transmitted over a broad spectral range in the infrared and perform inference computation to process and recognize the images with 92% accuracy. The demonstrated bP image sensor array can be scaled up to build a more complex vision-sensory neural network, which will find many promising applications for distributed and remote multispectral sensing.

Identifiers

PMID35304489
PMCPMC8933397

What OpenQuestion holds

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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.