Evidence map›Paper›PMID 42671496›Full record

ArticleNano-micro letters2026

Spectrally Partitioned All-Optical Memristors for Highly Linear Neuromorphic Vision Systems.

Junchao Zhang, Bai Sun, Songling Wang, Guangdong Zhou, Linfeng Sun, Zelin Cao, Kaikai Gao, Xiaojun Li, Xiaoliang Chen, Jinyou Shao

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Nano-micro letters, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Junchao ZhangFrontier Institute of Science and Technology, and Interdisciplinary Research Center of Frontier Science and Technology, Xi'an Jiaotong University, Xi'an, Shaanxi, 710049, People's Republic of China.
Bai SunFrontier Institute of Science and Technology, and Interdisciplinary Research Center of Frontier Science and Technology, Xi'an Jiaotong University, Xi'an, Shaanxi, 710049, People's Republic of China. baisun@xjtu.edu.cn.
Songling WangState Key Laboratory of Structural Chemistry, Fujian Institute of Research on the Structure of Matter, Chinese Academy of Sciences, Fuzhou, 350002, People's Republic of China.
Guangdong ZhouCollege of Artificial Intelligence, Brain-Inspired Computing & Intelligent Control of Chongqing Key Lab, Southwest University, Chongqing, 400715, People's Republic of China.
Linfeng SunCentre for Quantum Physics, Key Laboratory of Advanced Optoelectronic Quantum Architecture and Measurement (MOE), School of Physics, Beijing Institute of Technology, Beijing, 100081, People's Republic of China.
Zelin CaoFrontier Institute of Science and Technology, and Interdisciplinary Research Center of Frontier Science and Technology, Xi'an Jiaotong University, Xi'an, Shaanxi, 710049, People's Republic of China.
Kaikai GaoFrontier Institute of Science and Technology, and Interdisciplinary Research Center of Frontier Science and Technology, Xi'an Jiaotong University, Xi'an, Shaanxi, 710049, People's Republic of China.
Xiaojun LiFrontier Institute of Science and Technology, and Interdisciplinary Research Center of Frontier Science and Technology, Xi'an Jiaotong University, Xi'an, Shaanxi, 710049, People's Republic of China.
Xiaoliang ChenFrontier Institute of Science and Technology, and Interdisciplinary Research Center of Frontier Science and Technology, Xi'an Jiaotong University, Xi'an, Shaanxi, 710049, People's Republic of China.
Jinyou ShaoFrontier Institute of Science and Technology, and Interdisciplinary Research Center of Frontier Science and Technology, Xi'an Jiaotong University, Xi'an, Shaanxi, 710049, People's Republic of China. jyshao@xjtu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

All-optical control of synaptic weights offers a promising route toward low-power and massively parallel neuromorphic hardware. However, existing optoelectronic memristors often require electrical assistance or exhibit nonlinear and asymmetric conductance updates, limiting their energy efficiency and scalability. Herein, we report a spectrally partitioned all-optical memristor based on a PbS/PEDOT:PSS/VO

Indexed as

All-optical memristorArtificial intelligenceBrain-like chipHardware neural networkNeuromorphic vision

Identifiers

PMID42671496
PMCPMC13529625

What OpenQuestion holds

Textmetadata
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.