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Multifunctional Integration of Vanadium-Based Chalcogenides VX (X = S, Se, Te)

2025· article· en· W4414114593 on OpenAlex
Junlin Luo, Haiyu Meng, Ruoyan Xu, Xingxing Jiang, Yu‐Qing Zhao, Yee Sin Ang, Xiong‐Xiong Xue

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueACS Materials Letters · 2025
Typearticle
Languageen
FieldEngineering
TopicChalcogenide Semiconductor Thin Films
Canadian institutionsInnovation Cluster (Canada)
Fundersnot available
KeywordsMonolayerFerromagnetismCoupling (piping)Inductive couplingTransition metalSpin (aerodynamics)

Abstract

fetched live from OpenAlex

Two-dimensional (2D) ferromagnetic materials integrating multiple functions are promising candidates for building magnetic and electronic nanodevices. Here, we predict a series of stable 2D multifunctional ferromagnetic monolayers VX (X = S, Se, Te) encompassing indirect semiconducting and half-metallic phases with sizable spin gaps. Due to the strong ferromagnetic coupling present in the VX monolayers, the magnetic transition temperatures ( Tc ) of VS, VSe, and VTe reach 369, 315, and 311 K, respectively. Furthermore, the magnetic and electronic properties of VX monolayers can be sensitively modulated via mechanical strain, while the VS and VSe monolayers further exhibit negative Poisson’s ratios. The VX monolayers thus represent an unusual family of 2D ferromagnetic materials with strong mechano-electromagnetic coupling that may serve as a building block for future multifunctional nanodevices.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.846

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.016
GPT teacher head0.228
Teacher spread0.212 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it