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Record W4412908822 · doi:10.1093/mam/ozaf048.863

Can You Outrun Vanadium Dioxide Structural Insulating to Metal Transition?

2025· article· en· W4412908822 on OpenAlexaff
Alexandre Pofelski, Chuhang Liu, Spencer A. Reisbick, Myung‐Geun Han, Lijun Wu, Henry Navarro, Erbin Qiu, Tianxing Damir Wang, David J Asplaugh, M. J. Rozenberg, Shriram Ramanathan, Iván K. Schuller, Yimei Zhu

Bibliographic record

VenueMicroscopy and Microanalysis · 2025
Typearticle
Languageen
FieldMaterials Science
TopicTransition Metal Oxide Nanomaterials
Canadian institutionsNational Research Council Canada
Fundersnot available
KeywordsVanadium dioxideVanadiumTransition metalMaterials scienceMetalMetallurgyInorganic chemistryNanotechnologyEngineering physicsChemical engineeringChemistryEngineeringOrganic chemistryThin film

Abstract

fetched live from OpenAlex

Vanadium dioxide (VO2) is a quantum material classified as a Mott insulator that experiences an insulator-to-metal transition (IMT) concomitant with a structural phase transition under thermal or electrical stimuli. During this transition, the monoclinic insulating phase transforms through a structural rearrangement, characterized by the suppression of V-V dimerization, to the rutile metallic phase. Several ultrafast studies have demonstrated that the IMT transformation can occur within a few picoseconds, making VO2 a material of great interest for fast resistive switching applications in microelectronic devices [1, 2]. Recent findings further suggest that metallic switching can be even faster due to the emergence of a transient monoclinic metallic state, driven by ultrafast charge rearrangement preceding the structural transition. Nonetheless, most ultrafast studies are performed with photoexcitation and some electrical measurements indicate a significant longer timescale for the complete metallic switching highlighting the need for additional time-resolved structural investigations [3]. In this study, the VO2 structural phase transition under pure electrical stimulation at frequencies ranging from the MHz to GHz is observed using microwave driven pulsed transmission electron microscopy. The time-resolved experiments are conducted using a customized JEOL JEM-2100F TEM, equipped with an adjustable frequency pulser. In this particular setup, the pump and the probe are purely electrical, allowing to stimulate the resistive switching under realistic conditions for device application. In addition, the electrical setup enables tunable frequency control within the same instrument, offers flexibility in modulating the pump profile, and allows a complete dephasing between the pump and probe over a full cycle. Novel method utilizing the temporal parameters of the pump as the variable can be developed to study a steady-state materials response to a variety of stimuli. Through both selected area electron diffraction and real-space imaging we observe the cyclic ultrafast structural switching of VO2, including the propagation of the monoclinic to rutile structural wave front generated from nanometers scale rutile nuclei and growing into a micron scale metallic block. Applying custom processing methods, the velocity of the structural wave front is extracted and will be discussed with respect to a variety of physical models [4].

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.023
Threshold uncertainty score0.075

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0020.002
Open science0.0010.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0230.006

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 head0.007
GPT teacher head0.260
Teacher spread0.253 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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