Evidence map›Paper›PMID 40033985›Full record

ArticleAdvanced materials (Deerfield Beach, Fla.)2025

Titanium Self-Intercalation in Titanium Diselenide Devices: Insights from In Situ Transmission Electron Microscopy.

Hsin-Ya Sung, Che-Hung Wang, Mu-Pai Lee, Yu-Chuan Lin, Yen-Fu Lin, Chun-Wei Huang, Wen-Wei Wu

Abstract read
In one paragraph

Article in Advanced materials (Deerfield Beach, Fla.), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Partial Atomic Disordered TiAdvanced materials (Deerfield Beach, Fla.) · 2026
    Article
  3. Article
  4. 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

7 authors.

Hsin-Ya SungDepartment of Materials Science and Engineering, National Yang Ming Chiao Tung University, Hsinchu, 30010, Taiwan.
Che-Hung WangDepartment of Materials Science and Engineering, National Yang Ming Chiao Tung University, Hsinchu, 30010, Taiwan.
Mu-Pai LeeDepartment of Materials Science and Engineering, National Yang Ming Chiao Tung University, Hsinchu, 30010, Taiwan.
Yu-Chuan LinDepartment of Materials Science and Engineering, National Yang Ming Chiao Tung University, Hsinchu, 30010, Taiwan.
Yen-Fu LinDepartment of Physics, National Chung Hsing University, Taichung, 40227, Taiwan.
Chun-Wei HuangDepartment of Materials Science and Engineering, Feng Chia University, Taichung, 407102, Taiwan.
Wen-Wei WuDepartment of Materials Science and Engineering, National Yang Ming Chiao Tung University, Hsinchu, 30010, Taiwan.ORCID https://orcid.org/0000-0002-8388-8417

Funding

Future Semiconductor Technology Research CenterMinistry of EducationNational Science and Technology Council 112-2112-M-006-020-MY3National Science and Technology Council 112-2119-M-007-011-MBKNational Science and Technology Council 112-2221-E-A49-038-MY3National Science and Technology Council 112-2223-E-A49-005National Science and Technology Council 112-2740-M-A49-001National Science and Technology Council 113-2223-E-A49-007National Science and Technology Council 113-2634-F-A49-008
6 · The paper itself

Abstract

Metallic transition metal dichalcogenides (MTMDCs) are of significant attention for various electronic applications due to their anisotropic conductivity, high electron mobility, superconductivity, and charge-density-waves (CDW). Understanding the correlations between electronic properties and structural transformations is crucial. In this study, a bias-induced structural transformation in vertical CDW-based 1T-TiSe

Indexed as

2D cross‐sectionalhigh‐resolution TEMin‐situ biasingself‐intercalationSTEM‐EELSstructural transformation

Identifiers

PMID40033985
PMCPMC12038540

What OpenQuestion holds

Textmetadata
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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.