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Record W2066527008 · doi:10.1063/1.2739219

ZnO-based p-i-n and n-i-p heterostructure ultraviolet sensors: a comparative study

2007· article· en· W2066527008 on OpenAlexaff
Kai Wang, Y. Vygranenko, Arokia Nathan

Bibliographic record

VenueJournal of Applied Physics · 2007
Typearticle
Languageen
FieldEngineering
TopicGas Sensing Nanomaterials and Sensors
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsDiodeResponsivityOptoelectronicsUltravioletMaterials scienceHeterojunctionSchottky diodeSchottky barrierNon-blocking I/OLeakage (economics)Reverse leakage currentBiasingVoltageChemistryPhotodetectorPhysics

Abstract

fetched live from OpenAlex

A comparative study is reported on p-NiO∕i-ZnO∕n-ITO and n-ITO∕i-ZnO∕p-NiO heterostructure ultraviolet sensors. In comparing reverse-bias current-voltage characteristics, dark current transients, and dark-current field dependence of both diodes, we observed that thermal and Poole–Frenkel generation currents dominate in the leakage. The difference in the leakage level and field dependence essentially depends on the p-i interface. Analysis of forward-bias current-voltage characteristics identifies the difference in Schottky barrier height between two diodes, which causes the difference in the contact leakage level as well. Furthermore, the p-i-n diode has better performance in photosensitivity and responsivity due to less optical loss in the top contact, and both diodes are promising for low levels of ultraviolet detection.

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)0.000
metaresearch head score (Gemma)0.000
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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

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)0.0010.000

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 head0.234
Teacher spread0.221 · 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

Citations22
Published2007
Admission routes1
Has abstractyes

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