Evidence map›Paper›PMID 41612974›Full record

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

Ultrafast Multilevel Switching and Synaptic Behavior in a Planar Quantum Topological Memristor.

Mamoon Ur Rashid, Usman Safder, Sobia Ali Khan, Anh-Tuan Pham, Muhammad Sheeraz, Nguyen-Hoang Dang, Duy Le Thanh, Zeeshan Tahir, Faisal Maqbool, Koo-Hyun Chung and 3 more

Abstract read
PubMed Full text at PMC Publisher
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

13 authors.

Mamoon Ur RashidDepartment of Semiconductor Engineering and Energy Harvest-Storage Research Center, University of Ulsan, Ulsan, South Korea.ORCID https://orcid.org/0000-0002-9476-5009
Usman SafderSchool of Chemical and Bioprocess Engineering, Engineering and Materials Science Centre, University College Dublin (UCD), Belfield Campus, Dublin, Ireland.
Sobia Ali KhanNew Energy Materials Research Institute, Korea Institute of Energy Technology (KENTECH), Naju, South Korea.
Anh-Tuan PhamDivision of Chemical and Material Metrology, Korea Research Institute of Standards and Science (KRISS), Daejeon, South Korea.ORCID https://orcid.org/0000-0003-3976-9178
Muhammad SheerazDepartment of Semiconductor Engineering and Energy Harvest-Storage Research Center, University of Ulsan, Ulsan, South Korea.
Nguyen-Hoang DangDepartment of Semiconductor Engineering and Energy Harvest-Storage Research Center, University of Ulsan, Ulsan, South Korea.
Duy Le ThanhDepartment of Mechanical Engineering, University of Ulsan, Ulsan, South Korea.
Zeeshan TahirDepartment of Physics and Chemistry, Daegu Gyeongbuk Institute of Science and Technology (DGIST), Daegu, South Korea.
Faisal MaqboolDepartment of Semiconductor Engineering and Energy Harvest-Storage Research Center, University of Ulsan, Ulsan, South Korea.
Koo-Hyun ChungDepartment of Mechanical Engineering, University of Ulsan, Ulsan, South Korea.
Sunglae ChoDepartment of Semiconductor Engineering and Energy Harvest-Storage Research Center, University of Ulsan, Ulsan, South Korea.
Jungdae KimDepartment of Semiconductor Engineering and Energy Harvest-Storage Research Center, University of Ulsan, Ulsan, South Korea.
Yong Soo KimDepartment of Semiconductor Engineering and Energy Harvest-Storage Research Center, University of Ulsan, Ulsan, South Korea.ORCID https://orcid.org/0000-0001-8641-1035

Funding

Industrial Strategic Technology Development Program RS-2025-25458519National Research Foundation of Korea RS-2025-00553147
6 · The paper itself

Abstract

The rapid increase in data driven by analytics and Internet of Things demands innovation in both device architecture and materials to meet the growing need for fast and efficient computing. Here we report an ultrafast planar quantum topological memristor (PQTM), comprised of bismuth-telluride (Bi

Indexed as

energy efficientimage recognitionplanar memristortopological insulatorultrafast‐multilevel switching

Identifiers

PMID41612974
PMCPMC13073242

What OpenQuestion holds

Textmetadata
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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.