Evidence map›Paper›PMID 42801567›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2026

Solution-Processed Multi-Junction Optoelectronic Synapses for Mode-Switchable SWIR Neuromorphic Vision Sensing.

Zhuoyang He, Dae Yang Oh, Yi Ji, Yanyan Li, Chengwei Shan, Soong Ju Oh, Tianshuo Zhao

Abstract read
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 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

7 authors.

Zhuoyang HeDepartment of Electrical and Computer Engineering, The University of Hong Kong, Hong Kong SAR, China.ORCID https://orcid.org/0009-0002-9566-9390
Dae Yang OhDepartment of Materials Science and Engineering, Korea University, Seoul, Republic of Korea.ORCID https://orcid.org/0009-0006-0267-0878
Yi JiDepartment of Electrical and Computer Engineering, The University of Hong Kong, Hong Kong SAR, China.
Yanyan LiDepartment of Electrical and Computer Engineering, The University of Hong Kong, Hong Kong SAR, China.
Chengwei ShanDepartment of Electrical and Computer Engineering, The University of Hong Kong, Hong Kong SAR, China.
Soong Ju OhDepartment of Materials Science and Engineering, Korea University, Seoul, Republic of Korea.ORCID https://orcid.org/0000-0003-1434-8844
Tianshuo ZhaoDepartment of Electrical and Computer Engineering, The University of Hong Kong, Hong Kong SAR, China.ORCID https://orcid.org/0000-0003-3952-7603

Funding

National Natural Science Foundation of China 62304191National Research Foundation of Korea RS-2024-00438059National Research Foundation of Korea RS-2025-02222208National Research Foundation of Korea RS-2026-25468502National Research Foundation of Korea RS-2026-25517047Research Grants Council of University Grants Committee, Hong Kong SAR 17214024Research Grants Council of University Grants Committee, Hong Kong SAR 27210623
6 · The paper itself

Abstract

Shortwave infrared (SWIR) optoelectronics are the main pillars for machine vision and perception. However, conventional photodetectors and neuromorphic sensors with complementary characteristics are more challenging to integrate into a single device architecture in the SWIR band. Herein, a bias-programmable back-to-back rectifying junction is designed to switch between high-speed photodetector and persistent optoelectronic synapse modes. Numerical models demonstrate how bias tunes the relative barrier heights of the multi-junction stack, thereby modulating the carrier dynamics and triggering transitions among different operation modes. This concept is experimentally implemented using IR-absorbing colloidal lead sulfide (PbS) quantum dots (QDs) assembled into anti-series p-n and Schottky junctions. For 1550 nm operation, cascaded p-n QD homojunctions effectively improve photodetector performance while strengthening the synaptic plasticity of photocurrent. The programmable device states enable image denoising and motion trajectory tracking. Notably, a unique synapse regime is identified to suppress static IR background and enhance the signal-to-noise ratio (SNR) of dynamic events, achieving static-dynamic fusion in SWIR vision. This solution-processable and voltage-controlled multi-junction design provides a scalable route toward spatiotemporal SWIR vision sensing systems.

Indexed as

dual‐modephotodetectorphotosynapsequantum dotshortwave infrared

Identifiers

PMID42801567
PMCPMC13616316

What Socratic 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 Socratic graph.