Evidence map›Paper›PMID 42433134›Full record

ArticleAdvanced materials (Deerfield Beach, Fla.)2026

Perception, Synaptic Plasticity, and Spiking Neuron Function Enabled by a 2D Ferroelectric NbOBr

Zhipeng Yu, Zixuan Zhao, Qingchen Han, Qinan Wang, Tianle Zeng, Yuxuan Zeng, Yanhui Xing, Bin Fang, Weiming Lv, Chun Zhao and 4 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Advanced materials (Deerfield Beach, Fla.), 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

14 authors.

Zhipeng YuNanofabrication facility, Suzhou Institute of Nano-Tech and Nano-Bionics, Chinese Academy of Sciences, Suzhou, China.
Zixuan ZhaoSchool of Advanced Technology, Xi'an Jiaotong-Liverpool University, Suzhou, China.
Qingchen HanNanofabrication facility, Suzhou Institute of Nano-Tech and Nano-Bionics, Chinese Academy of Sciences, Suzhou, China.
Qinan WangNanofabrication facility, Suzhou Institute of Nano-Tech and Nano-Bionics, Chinese Academy of Sciences, Suzhou, China.
Tianle ZengNanofabrication facility, Suzhou Institute of Nano-Tech and Nano-Bionics, Chinese Academy of Sciences, Suzhou, China.
Yuxuan ZengNanofabrication facility, Suzhou Institute of Nano-Tech and Nano-Bionics, Chinese Academy of Sciences, Suzhou, China.
Yanhui XingKey Laboratory of Opto-electronics Technology, Ministry of Education, School of Information Science and Technology, Beijing University of Technology, Beijing, China.
Bin FangNanofabrication facility, Suzhou Institute of Nano-Tech and Nano-Bionics, Chinese Academy of Sciences, Suzhou, China.
Weiming LvNanofabrication facility, Suzhou Institute of Nano-Tech and Nano-Bionics, Chinese Academy of Sciences, Suzhou, China.
Chun ZhaoSchool of Advanced Technology, Xi'an Jiaotong-Liverpool University, Suzhou, China.ORCID https://orcid.org/0000-0002-4783-960X
Yingchun ChengCenter For High Pressure Science (CHiPS), State Key Laboratory of Metastable Materials Science and Technology, Yanshan University, Qinhuangdao, China.
Lin GengNanofabrication facility, Suzhou Institute of Nano-Tech and Nano-Bionics, Chinese Academy of Sciences, Suzhou, China.
Zhongyuan LiuCenter For High Pressure Science (CHiPS), State Key Laboratory of Metastable Materials Science and Technology, Yanshan University, Qinhuangdao, China.
Zhongming ZengNanofabrication facility, Suzhou Institute of Nano-Tech and Nano-Bionics, Chinese Academy of Sciences, Suzhou, China.

Funding

National Natural Science Foundation of China 52371206
6 · The paper itself

Abstract

2D ferroelectrics integrate electrically tunable polarization dynamics with anisotropic light-matter interaction, providing a unified platform for co-localized sensing and in-memory computing. However, most neuromorphic visual systems still rely on heterogeneous components that exploit only a single material functionality at a time, thereby increasing system complexity and fabrication costs. Here, we demonstrate a device-algorithm co-design for neuromorphic visual recognition based on multifunctional NbOBr

Indexed as

Neuronal PlasticityNeuronsAction PotentialsGraphiteNeural Networks, ComputerSynapsesGraphiteferroelectric synapsesLIF neuronsneuromorphic visionoptoelectronic synapsestwo‐dimensional ferroelectrics

Identifiers

PMID42433134
PMCPMC13486184

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.