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Record W1852349976 · doi:10.1002/pssa.201532222

Influence of electronic transmission on the electrical transport properties in metal–semiconductor contacts

2015· article· en· W1852349976 on OpenAlex
Loucheng Dai, Jun Liu, Chao Han, Zhichong Wang, Yan Zhang, Zhiyu Hu

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

Venuephysica status solidi (a) · 2015
Typearticle
Languageen
FieldPhysics and Astronomy
TopicSemiconductor materials and interfaces
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsSchottky diodeThermionic emissionSchottky barrierMaterials scienceMetal–semiconductor junctionOptoelectronicsSemiconductorDiodeSputter depositionSputteringThin filmNanotechnologyPhysicsElectron

Abstract

fetched live from OpenAlex

A Pt/Si Schottky diode was prepared by depositing thin‐film Pt on Si (100) via RF magnetron sputtering. The I–V characteristics of the nano‐Schottky structure were measured by conductive‐AFM (CAFM) and probe‐based measurement, where nano‐ and micro‐size tip was used, respectively. Result from both measurements showed the rectifying behaviors, whereas the leakage current detected by CAFM is about six orders of magnitude larger than that detected by the micromeasurement. It was proposed that this electronic transport discrepancy is mainly ascribed to the different electronic transmission. In order to reveal the characteristics of the Schottky junction, a thermionic emission (TE) model and thermionic‐field emission (TFE) model were applied for the I–V data fitting. It was proved that the result can be well fitted by the TE model, with an ideality factor (IF) n = 1–2 and barrier height (BH) 0.75–0.85 eV, indicating this Schottky diode approximates to an ideal Schottky diode ( n = 1).

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 score0.010
Threshold uncertainty score0.533

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 head0.031
GPT teacher head0.254
Teacher spread0.223 · 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