Evidence map›Paper›PMID 42129192›Full record

ArticleNature communications2026

Non-Arrhenius threshold switching by field-driven dipolar ordering.

Wen-Xiong Song, Guangjie Shi, Qi Hu, Fan Zhu, Tianjiao Xin, Ying Chen, Sergiu Clima, Gilberto Teobaldi, Yuhao Wang, Wenjian Huang and 5 more

Abstract read
In one paragraph

Article in Nature communications, 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

15 authors.

Wen-Xiong Song *State Key Laboratory of Materials for Integrated Circuits, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai, China.ORCID http://orcid.org/0000-0003-0754-5786
Guangjie Shi *Key Laboratory of Polar Materials and Devices (MOE), School of Information and Electronic Engineering & School of Integrated Circuits Science and Engineering, East China Normal University, Shanghai, China.
Qi Hu *School of Physics, Beihang University, Beijing, China.
Fan ZhuDepartment of Materials Science, Fudan University, Shanghai, China.ORCID http://orcid.org/0000-0002-6393-9053
Tianjiao XinKey Laboratory of Polar Materials and Devices (MOE), School of Information and Electronic Engineering & School of Integrated Circuits Science and Engineering, East China Normal University, Shanghai, China.
Ying ChenKey Laboratory of Inorganic Functional Materials and Devices, Shanghai Institute of Ceramics, Chinese Academy of Sciences, Shanghai, China.
Sergiu Climaimec, Kapeldreef 75, Leuven, Belgium.ORCID http://orcid.org/0000-0002-4044-9975
Gilberto TeobaldiScientific Computing Department, STFC UKRI, Rutherford Appleton Laboratory, Didcot, UK.ORCID http://orcid.org/0000-0001-6068-6786
Yuhao WangState Key Laboratory of Materials for Integrated Circuits, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai, China.
Wenjian HuangState Key Laboratory of Materials for Integrated Circuits, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai, China.
Sannian SongState Key Laboratory of Materials for Integrated Circuits, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai, China. songsannian@mail.sim.ac.cn.ORCID http://orcid.org/0000-0001-7186-4744
Cheol Seong HwangDepartment of Materials Science and Engineering and Inter-University Semiconductor Research Center, Seoul National University, Seoul, South Korea.ORCID http://orcid.org/0000-0002-6254-9758
Li-Min LiuSchool of Physics, Beihang University, Beijing, China.ORCID http://orcid.org/0000-0003-3925-5310
Yan ChengKey Laboratory of Polar Materials and Devices (MOE), School of Information and Electronic Engineering & School of Integrated Circuits Science and Engineering, East China Normal University, Shanghai, China. ycheng@ee.ecnu.edu.cn.ORCID http://orcid.org/0000-0002-0067-2646
Zhitang SongState Key Laboratory of Materials for Integrated Circuits, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai, China. ztsong@mail.sim.ac.cn.ORCID http://orcid.org/0000-0001-7859-9429

Funding

National Natural Science Foundation of China (National Science Foundation of China) 62374171, 52225308, 52533010, W2412084
6 · The paper itself

Abstract

The long-standing challenge in resolving the atomic-scale threshold switching mechanism in amorphous chalcogenides, fundamental constraint on further development of promising memory technologies, stems from their intrinsic structural disorder. Here, we overcome this pivotal challenge by capturing electric-field-driven dipolar ordering in amorphous GeSe through combined atomic-resolution angstrom-beam electron diffraction and field-coupled ab initio molecular dynamics. Electric fields induce anti-parallel displacements of Ge ( + 0.23 Å) and Se ( - 0.21 Å) atoms within picoseconds, aligning dipoles into one-dimension chains. These polarity-locked chains, evidenced by two distinct diffraction spots (1.95 Å spacing), guide conductive filament growth perpendicular to chain alignment. This mechanism enables direct harnessing of dipole-originated threshold voltage asymmetry in selector-only memory, achieving dual functionality through single-material engineering. This field-induced non-Arrhenius process squashes thermal activation barriers, enabling dipolar-order-driven switching within the picosecond regime thus breaking the thermal speed limit for resistive switching. Our findings establish a pathway to atomic-scale dipole control for ultrafast storage-class memory.

Identifiers

PMID42129192
PMCPMC13376810

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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.