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Record W4408488864 · doi:10.1038/s41467-025-57773-y

2D edge-seeded heteroepitaxy of ultrathin high-κ dielectric CaNb2O6 for 2D field-effect transistors

2025· article· en· W4408488864 on OpenAlexaff
Xiulian Fan, Jiali Yi, Bin Deng, Cong Zhou, Zejuan Zhang, Yu Jia, Weihan Li, Cheng Li, Guangcheng Wu, Xilong Zhou, Tulai Sun, Yihan Zhu, Jian Zhou, Juan Xia, Zenghui Wang, Keji Lai, Dong Li, Anlian Pan, Yu Zhou

Bibliographic record

VenueNature Communications · 2025
Typearticle
Languageen
FieldEngineering
TopicSemiconductor materials and devices
Canadian institutionsWestern University
Fundersnot available
KeywordsMaterials scienceOptoelectronicsEnhanced Data Rates for GSM EvolutionDielectricField-effect transistorTransistorNanotechnologyComputer scienceElectrical engineeringTelecommunicationsVoltage

Abstract

fetched live from OpenAlex

The experimental realization of single-crystalline high-κ dielectrics beyond two-dimensional (2D) layered materials is highly desirable for nanoscale field-effect transistors (FETs). However, the scalable synthesis of 2D nonlayered high-κ insulators is currently limited by uncontrolled isotropic three-dimensional growth, hampering the achievement of simultaneous high dielectric constants and low trap densities for small film thicknesses. Herein, we show a 2D edge-seeded heteroepitaxial strategy to synthesize ultrathin nonlayered 2D CaNb2O6 nanosheets by chemical vapor deposition, exhibiting high-crystalline quality, thickness-independent dielectric constant (~ 16) and breakdown field strength up to ~ 12 MV cm−1. The MoS2/CaNb2O6 FETs exhibit an on/off ratio of over ~ 107, a subthreshold swing down to 61 mV/dec and a negligible hysteresis. This work suggests a universal 2D edge-seeded heteroepitaxy and slow kinetic strategy for the scalable growth of 2D nonlayered dielectric and demonstrates 2D CaNb2O6 nanosheets as promising dielectrics for facilitating 2D electronic applications. 2D high-κ dielectric materials remain highly sought-after for the future development of 2D electronics. Here, the authors report a 2D edge-seeded heteroepitaxial growth strategy to synthesize CaNb2O6 thin films with equivalent oxide thickness down to 0.7 nm and show their application for high-performance 2D MoS2 transistors.

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 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 score0.059
Threshold uncertainty score0.506

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 science0.0010.000
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 head0.010
GPT teacher head0.267
Teacher spread0.257 · 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 teacher head, 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

Citations23
Published2025
Admission routes1
Has abstractyes

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