Dual-Mode Photonic Synapse Based on a Lead-Free 2D Ruddlesden-Popper Perovskite for Neuromorphic Vision.

Cheng-Yueh Chen, Hao-Cheng Lin, Pei-En Jan, Hung-Ming Chen, Yung-Tang Chuang, Chia-Feng Li, Yu-Ching Huang, Hao-Wu Lin

Abstract read

In one paragraph

Article in ACS applied materials & interfaces, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it

0cells of the map it votes in

1citing 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

1 citing paper in PubMed.

Solution-Processed Multi-Junction Optoelectronic Synapses for Mode-Switchable SWIR Neuromorphic Vision Sensing.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
Article

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

8 authors.

Cheng-Yueh ChenDepartment of Materials Science and Engineering, National Tsing Hua University, Hsinchu 30013, Taiwan.

Hao-Cheng LinDepartment of Materials Science and Engineering, National Tsing Hua University, Hsinchu 30013, Taiwan.

Pei-En JanDepartment of Materials Science and Engineering, National Tsing Hua University, Hsinchu 30013, Taiwan.

Hung-Ming ChenDepartment of Materials Science and Engineering, National Tsing Hua University, Hsinchu 30013, Taiwan.

Yung-Tang ChuangDepartment of Materials Science and Engineering, National Tsing Hua University, Hsinchu 30013, Taiwan.ORCID 0000-0001-5744-791X

Chia-Feng LiDepartment of Materials Engineering, Ming Chi University of Technology, New Taipei City 24301, Taiwan.

Yu-Ching HuangDepartment of Materials Engineering, Ming Chi University of Technology, New Taipei City 24301, Taiwan.ORCID 0000-0003-4772-8050

Hao-Wu LinDepartment of Materials Science and Engineering, National Tsing Hua University, Hsinchu 30013, Taiwan.ORCID 0000-0003-4216-7995

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Inspired by the human visual system, photonic synapses with photonic sensing and data memorization offer a promising alternative to traditional von Neumann architectures for neuromorphic computing. This study introduces a multifunctional artificial photonic synapse based on solution-processed PEA

Indexed as

dual-modelead-freephotodetectorphotosynapseRuddlesden−Popper perovskite

Identifiers

PMID40817858

DOI10.1021/acsami.5c10557

PMCPMC12400261

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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.