Evidence map›Paper›PMID 42317074›Full record

ArticleSmall methods2026

Nanoscopic Observation of Structural Changes After First-Firing Behavior in W/GeTe/W Ovonic Threshold Switches Using AFM Tip-Based Local Biasing.

Young-Min Kim, Su-Bong Lee, Siwon Park, Jong-Souk Yeo

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. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

4 authors.

Young-Min KimSchool of Integrated Technology, College of Computing, Yonsei University, Yeonsu-gu, Incheon, Republic of Korea.
Su-Bong LeeSchool of Integrated Technology, College of Computing, Yonsei University, Yeonsu-gu, Incheon, Republic of Korea.
Siwon ParkSchool of Integrated Technology, College of Computing, Yonsei University, Yeonsu-gu, Incheon, Republic of Korea.
Jong-Souk YeoSchool of Integrated Technology, College of Computing, Yonsei University, Yeonsu-gu, Incheon, Republic of Korea.

Funding

Korea government 2023R1A2C2006811National Research FoundationNational Research Foundation of KoreaSamsung Electronics Co., Ltd. IO2102021-08356-01
6 · The paper itself

Abstract

An Ovonic threshold switch (OTS) is a promising selector device for three-dimensional crossbar memory arrays due to its simple two-terminal architecture and unique electrical properties. Despite extensive studies, the switching mechanisms of OTS devices under an electric field (EF) and thermal driving forces remain ambiguous. In this work, a local biasing approach using atomic force microscopy is employed to spatially confine the switching region in Te-rich Ge-Te-based OTS devices. EF simulations are used to evaluate stable switching in two types of local biasing systems. Following local switching, transmission electron microscopy reveals nanocrystalline formation at the interface between the top electrode and the switching layer, providing insights into structural changes and the first-firing (FF) phenomenon. This interfacial crystallization enhances local conductivity and reduces the effective thickness of the amorphous layer from 32 to 24 nm, lowering the voltage required for subsequent threshold switching to 1.27 V relative to the 1.72 V for the initial FF behavior. The study demonstrates the feasibility of directly observing switching at the nanometer scale in targeted regions, offering a clear interpretation of the underlying mechanism of OTS switching and highlighting the critical role of the crystalline/amorphous interface in facilitating localized electron transport.

Indexed as

atomic force microscopyGeTelocal biasovonic threshold switch

Identifiers

PMID42317074
PMCPMC13555642

What OpenQuestion holds

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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.