Evidence map›Paper›PMID 39814700›Full record

ArticleLight, science & applications2025

Optoelectronic array of photodiodes integrated with RRAMs for energy-efficient in-sensor computing.

Wen Pan, Lai Wang, Jianshi Tang, Heyi Huang, Zhibiao Hao, Changzheng Sun, Bing Xiong, Jian Wang, Yanjun Han, Hongtao Li and 2 more

Abstract read
PubMed Full text at PMC Publisher
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 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
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

12 authors.

Wen PanDepartment of Electronic Engineering, Tsinghua University, Beijing, China.
Lai WangDepartment of Electronic Engineering, Tsinghua University, Beijing, China. wanglai@tsinghua.edu.cn.ORCID http://orcid.org/0000-0001-7262-0020
Jianshi TangBeijing National Research Center for Information Science and Technology (BNRist), Tsinghua University, Beijing, 100084, China.ORCID http://orcid.org/0000-0001-8369-0067
Heyi HuangSchool of Integrated Circuits, Tsinghua University, Beijing, 100084, China.
Zhibiao HaoDepartment of Electronic Engineering, Tsinghua University, Beijing, China.
Changzheng SunDepartment of Electronic Engineering, Tsinghua University, Beijing, China.
Bing XiongDepartment of Electronic Engineering, Tsinghua University, Beijing, China.ORCID http://orcid.org/0000-0002-1015-4578
Jian WangDepartment of Electronic Engineering, Tsinghua University, Beijing, China.
Yanjun HanDepartment of Electronic Engineering, Tsinghua University, Beijing, China.
Hongtao LiDepartment of Electronic Engineering, Tsinghua University, Beijing, China.
Lin GanDepartment of Electronic Engineering, Tsinghua University, Beijing, China.
Yi LuoDepartment of Electronic Engineering, Tsinghua University, Beijing, China.

Funding

National Natural Science Foundation of China (National Science Foundation of China) 62225405, 62350002, 61991443, 62127814, 62235005, and 61927811
6 · The paper itself

Abstract

The rapid development of internet of things (IoT) urgently needs edge miniaturized computing devices with high efficiency and low-power consumption. In-sensor computing has emerged as a promising technology to enable in-situ data processing within the sensor array. Here, we report an optoelectronic array for in-sensor computing by integrating photodiodes (PDs) with resistive random-access memories (RRAMs). The PD-RRAM unit cell exhibits reconfigurable optoelectronic output and photo-responsivity by programming RRAMs into different resistance states. Furthermore, a 3 × 3 PD-RRAM array is fabricated to demonstrate optical image recognition, achieving a universal architecture with ultralow latency and low power consumption. This study highlights the great potential of the PD-RRAM optoelectronic array as an energy-efficient in-sensor computing primitive for future IoT applications.

Identifiers

PMID39814700
PMCPMC11736068

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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.