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Record W4414419796 · doi:10.26434/chemrxiv-2025-tktf0

Engineered C₁₂₀ Fullertube/MXene Heterostructures for Tunable Schottky–Mott Junctions

2025· article· en· W4414419796 on OpenAlexaff
Emmanuel Bourret, L. T. Pearson, Mina Shawky Adly, Michel Côté, Luís Echegoyen, Andrew R. Lupini, David B. Geohegan, Ivan Vlassiouk, Bo Wang, Alain R. Puente Santiago, Xinqi Chen, Tianwei He, Demetris Geddis, Steven Stevenson, Mohamed Noufal

Bibliographic record

VenueChemRxiv · 2025
Typearticle
Languageen
FieldMaterials Science
TopicMXene and MAX Phase Materials
Canadian institutionsUniversité de Montréal
Fundersnot available
Keywordsvan der Waals forceNanoelectronicsMicroelectronicsDensity functional theoryHeterojunctionSchottky barrierRectificationBand gap

Abstract

fetched live from OpenAlex

Achieving perfect metal–semiconductor (MS) junctions in microelectronics has remained elusive due to Fermi-level pinning and MS interfacial disorder. Here, we report the experimental understanding of the C₁₂₀/Ti₃C₂Tₓ MXene van der Waals junction. Structural and spectroscopic analyses reveal atomically intelligible C₁₂₀/MXene interfaces characterized by seamless lattice continuity and chemically inert van der Waals (vdW) contact formation. Density functional theory calculations reveal strong anisotropic polarizability-controlled band alignment, suppressed metal-induced gap states, and charge redistribution across the 2D heterojunction, validating Schottky–Mott-limited transport with minimal Fermi-level pinning. Temperature-dependent I–V and gate-modulated transport studies further validate the Schottky barrier heights and ideality factors, which vary significantly with the choice of contact metal, thereby validating the restored barrier tunability through metal work-function. This dual functionality highlights C₁₂₀ fullertubes as versatile molecular building blocks for next-generation nanoelectronics and energy devices, proposing a scalable, damage-free integration strategy for high-performance vdW heterojunctions.

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 categoriesInsufficient payload (model declined to judge)
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 score0.086
Threshold uncertainty score0.999

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)0.0020.000

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 head0.014
GPT teacher head0.260
Teacher spread0.246 · 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.

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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