Evidence map›Paper›PMID 42178685›Full record

ArticleSmall methods2026

Solution-Processed Submicron-Channel Organic Ferroelectric Memristors with a Low Operation Voltage of 1 V.

Kai Xu, Chenxu Sheng, Dacheng Xia, Zhi-Jun Qiu, Chunxiao Cong, Ran Liu, Laigui Hu

Abstract read
In one paragraph

Article in Small methods, 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.

Kai XuCollege of Biomedical Engineering, Fudan University, Shanghai, China.
Chenxu ShengSchool of Information Science and Technology, Fudan University, Shanghai, China.
Dacheng XiaSchool of Information Science and Technology, Fudan University, Shanghai, China.
Zhi-Jun QiuSchool of Information Science and Technology, Fudan University, Shanghai, China.
Chunxiao CongSchool of Information Science and Technology, Fudan University, Shanghai, China.
Ran LiuSchool of Information Science and Technology, Fudan University, Shanghai, China.
Laigui HuCollege of Biomedical Engineering, Fudan University, Shanghai, China.ORCID https://orcid.org/0000-0003-1995-1423

Funding

National Key Research and Development Program of China for International Cooperation 2023YFE0117100National Natural Science Foundation of China 62074040National Natural Science Foundation of China 62074045
6 · The paper itself

Abstract

In contrast to traditional von Neumann electronic systems, which suffer from inherent data transmission and energy efficiency bottlenecks, memristors have been proposed to meet the demand of fast-growing neuromorphic computing for low-power, high-integration, scalable devices. Great progress has been achieved in inorganic memristors and their chips. On the contrary, organic memristors, featuring flexibility, biocompatibility, and facile fabrication, still face bottlenecks in miniaturization and arrayed fabrication due to lithography incompatibility. Herein, we report a submicron-channel organic memristor with a heterojunction of molecular ferroelectric diisopropylammonium bromide (DIPAB) and semiconductor copper(II) phthalocyanine (CuPc), fabricated by combining all-solution functional layer processing with nanoimprint lithography (NIL). The conductivity and photoresponsivity of the lateral interface of the heterojunction can be modulated by the in-plane ferroelectric polarization of DIPAB. By optimizing CuPc annealing in the NIL-patterned submicron channel, low-voltage operation of ≤1 V was achieved, with electrical/optoelectronic bimodal synaptic characteristics including discrete quasi-linear multi-level conductance modulation and self-driven photoresponsivity tuning. Based on their physical properties, high accuracy of image recognition simulations was then achieved with simple network architectures. This may provide a feasible low-cost route for large-scale fabrication of miniaturized organic memristors with lateral conduction channels for low-power neuromorphic computing applications.

Indexed as

all‐solution‐processed functional layersbimodal synaptic characteristicslateral submicron channellow operation voltage of 1 VNILorganic ferroelectric memristor

Identifiers

PMID42178685
PMCPMC13244413

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.