Evidence map›Paper›PMID 42464631›Full record

ArticleAdvanced materials (Deerfield Beach, Fla.)2026

Hysteresis Inversion Driven by Polar-Order Competition in van der Waals Ferrielectric.

Yinchang Ma, Yuan Yan, Tao Yang, Aseel Alslbi, Shijie Xu, Hanin Algaidi, Bin He, Man Yang, Hao Li, Jingkai Xu and 6 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

16 authors.

Yinchang MaPhysical Science and Engineering Division, King Abdullah University of Science and Technology, Thuwal, Saudi Arabia.ORCID https://orcid.org/0000-0002-5201-6448
Yuan YanDepartment of Mechanical Engineering, The University of Melbourne, Parkville, Victoria, Australia.ORCID https://orcid.org/0000-0002-8987-813X
Tao YangPhysical Science and Engineering Division, King Abdullah University of Science and Technology, Thuwal, Saudi Arabia.ORCID https://orcid.org/0009-0005-1661-6613
Aseel AlslbiPhysical Science and Engineering Division, King Abdullah University of Science and Technology, Thuwal, Saudi Arabia.ORCID https://orcid.org/0009-0002-5374-5025
Shijie XuPhysical Science and Engineering Division, King Abdullah University of Science and Technology, Thuwal, Saudi Arabia.ORCID https://orcid.org/0000-0003-2882-1065
Hanin AlgaidiPhysical Science and Engineering Division, King Abdullah University of Science and Technology, Thuwal, Saudi Arabia.ORCID https://orcid.org/0000-0002-5159-8917
Bin HePhysical Science and Engineering Division, King Abdullah University of Science and Technology, Thuwal, Saudi Arabia.ORCID https://orcid.org/0009-0009-6557-2492
Man YangPhysical Science and Engineering Division, King Abdullah University of Science and Technology, Thuwal, Saudi Arabia.ORCID https://orcid.org/0000-0003-0336-374X
Hao LiPhysical Science and Engineering Division, King Abdullah University of Science and Technology, Thuwal, Saudi Arabia.ORCID https://orcid.org/0009-0009-4193-2449
Jingkai XuPhysical Science and Engineering Division, King Abdullah University of Science and Technology, Thuwal, Saudi Arabia.ORCID https://orcid.org/0000-0002-7545-3608
Hanguang LiaoPhysical Science and Engineering Division, King Abdullah University of Science and Technology, Thuwal, Saudi Arabia.ORCID https://orcid.org/0000-0001-6480-1286
Chuanhui GongPhysical Science and Engineering Division, King Abdullah University of Science and Technology, Thuwal, Saudi Arabia.ORCID https://orcid.org/0009-0003-6122-0576
Mohamed Nejib HedhiliPhysical Science and Engineering Division, King Abdullah University of Science and Technology, Thuwal, Saudi Arabia.ORCID https://orcid.org/0000-0002-3624-036X
Youyou YuanPhysical Science and Engineering Division, King Abdullah University of Science and Technology, Thuwal, Saudi Arabia.ORCID https://orcid.org/0009-0002-0875-1215
Xiang LvCollege of Materials Science and Engineering, Sichuan University, Chengdu, China.ORCID https://orcid.org/0000-0001-6101-7568
Xixiang ZhangPhysical Science and Engineering Division, King Abdullah University of Science and Technology, Thuwal, Saudi Arabia.ORCID https://orcid.org/0000-0002-3478-6414

Funding

King Abdullah University of Science and Technology ORA CRG12-2024-6480
6 · The paper itself

Abstract

Emerging artificial intelligence paradigms increasingly rely on hardware that can dynamically adapt to surging computational workloads, yet present memristive technology remains fundamentally constrained by the fixed polarity of the device, meaning that its directionality for electrical response is unchangeable once integrated into a circuit. Consequently, a single device is locked into a specific operating mode, unable to achieve the flexible reconfiguration required for complex neural networks. Here we introduce a new device concept, a "polarity-reconfigurable memristor" capable of breaking this constraint by exploiting the complex polar-order competition in the van der Waals ferrielectric CuCrP

Indexed as

memristive devicepolar‐order transitionresistive hysteresissynaptic plasticityvdW ferrielectrics

Identifiers

PMID42464631
PMCPMC13496046

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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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.