Evidence map›Paper›PMID 41486353›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2026

Transient Antiskyrmion-Mediated Topological Transitions in Isotropic Magnets.

Bingqian Dai, Tianyi Wang, Albert Lee, Shijie Xu, Zhongjian Bian, Xinyue Zhu, Puyang Huang, Aadi Chaturvedi, Yaochen Li, Yang Cheng and 9 more

Abstract read
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In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 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

19 authors.

Bingqian DaiDepartment of Electrical and Computer Engineering, University of California, Los Angeles, CA, 90095, USA.
Tianyi WangDepartment of Electrical and Computer Engineering, University of California, Los Angeles, CA, 90095, USA.
Albert LeeDepartment of Electrical and Computer Engineering, University of California, Los Angeles, CA, 90095, USA.
Shijie XuDepartment of Electrical and Computer Engineering, University of California, Los Angeles, CA, 90095, USA.
Zhongjian BianICY Technology (Beijing) Co., Ltd, Beijing, 100871, China.
Xinyue ZhuState Key Laboratory of Artificial Microstructure and Mesoscopic Physics, Institute of Condensed Matter Physics and Materials, School of Physics, Peking University, Beijing, 100871, China.
Puyang HuangDepartment of Electrical and Computer Engineering, University of California, Los Angeles, CA, 90095, USA.
Aadi ChaturvediDepartment of Physics, National University of Singapore, Singapore, 117551, Singapore.
Yaochen LiDepartment of Electrical and Computer Engineering, University of California, Los Angeles, CA, 90095, USA.
Yang ChengDepartment of Electrical and Computer Engineering, University of California, Los Angeles, CA, 90095, USA.
Qingyuan ShuDepartment of Electrical and Computer Engineering, University of California, Los Angeles, CA, 90095, USA.
Haoran HeDepartment of Electrical and Computer Engineering, University of California, Los Angeles, CA, 90095, USA.
Hanshen HuangDepartment of Electrical and Computer Engineering, University of California, Los Angeles, CA, 90095, USA.
Lixuan TaiDepartment of Electrical and Computer Engineering, University of California, Los Angeles, CA, 90095, USA.
Kin WongDepartment of Electrical and Computer Engineering, University of California, Los Angeles, CA, 90095, USA.
Jinbo YangState Key Laboratory of Artificial Microstructure and Mesoscopic Physics, Institute of Condensed Matter Physics and Materials, School of Physics, Peking University, Beijing, 100871, China.
Anjan SoumyanarayananDepartment of Physics, National University of Singapore, Singapore, 117551, Singapore.
Zhaochu LuoState Key Laboratory of Artificial Microstructure and Mesoscopic Physics, Institute of Condensed Matter Physics and Materials, School of Physics, Peking University, Beijing, 100871, China.
Kang L WangDepartment of Electrical and Computer Engineering, University of California, Los Angeles, CA, 90095, USA.ORCID https://orcid.org/0000-0002-9363-1279

Funding

Army Research Office Multidisciplinary University Research Initiative W911NF16-1-0472Army Research Office Multidisciplinary University Research Initiative W911NF-19-S-0008Ministry of Education Academic Research Fund 23-1072-A0001National Key Research and Development Program of China 2022YFA1203904National Natural Science Foundation of China 12241401National Natural Science Foundation of China 52271160National Science Foundation 1611570National Science Foundation 1810163NUS IT's Research Computing group NUSREC-HPC-00001Singapore's RIE2025 Manufacturing, Trade and Connectivity initiative M23M6c0112
6 · The paper itself

Abstract

From elementary particles to cosmological structures, topological solitons are ubiquitous nonlinear excitations valued for their robustness and complex interactions. In magnetism, solitons such as skyrmions and antiskyrmions behave analogously to particles and antiparticles, typically annihilating in pairs in accordance with topological conservation laws. Here the stripe-to-skyrmion transition is experimentally observed and a model for a skyrmion-antiskyrmion-skyrmion intertwined state is introduced, in which the central antiskyrmion is annihilated, leading to an increase in the local topological number. Because this transition occurs repeatedly across the film, the cumulative effect produces a global increase in the total topological charge. This model reflects a breakdown of topological protection in isotropic Dzyaloshinskii-Moriya interaction (DMI) materials, where symmetry constraints render the antiskyrmion energetically unstable and thermally activated. Using micromagnetic simulations and minimum-energy-path calculations, the antiskyrmion is identified as a transient, metastable excitation. To highlight its functional potential, this stripe-to-skyrmion transition within a Hall device is exploited to generate stochastic bitstreams, which are subsequently used in a proof-of-concept probabilistic computing demonstration. These results contribute to the understanding of topological spin-texture dynamics and suggest opportunities for leveraging their transient behavior in probabilistic computing architectures.

Indexed as

magnetic devicesskyrmionic materialsspintronicstopological spin texturesunconventional computing

Identifiers

PMID41486353
PMCPMC12931202

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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.