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Record W2070727093 · doi:10.3131/jvsj2.51.602

Sputter Deposition of Anatase Titanum Dioxide Transparent Conducting Films

2008· article· en· W2070727093 on OpenAlexaff
Naoomi Yamada, Taro Hitosugi, Tetsuya Hasegawa

Bibliographic record

VenueJournal of the Vacuum Society of Japan · 2008
Typearticle
Languageen
FieldMaterials Science
TopicZnO doping and properties
Canadian institutionsKootenay Association for Science & Technology
Fundersnot available
KeywordsRutileMaterials scienceAnataseCrystalliteSputteringElectrical resistivity and conductivityDeposition (geology)Layer (electronics)Thin filmTransmittancePhase (matter)NanotechnologyOptoelectronicsChemical engineeringMetallurgyChemistryElectrical engineeringGeologyPhotocatalysis

Abstract

fetched live from OpenAlex

We report recent progress on sputter-deposition of Ti0.94Nb0.06O2 polycrystalline (poly-TNO) thin films as ITO-alternative transparent conductor. In order to achieve low resistivity (ρ) in TNO, it is necessary to introduce oxygen deficiencies into anatase phase. However, growth of poly-TNO films on glass under relatively reducing atmosphere tends to stabilize the rutile phase with higher resistivity. We overcame this difficulty by developing a bi-layer technique using a TNO seed-layer, which prevents the formation of the rutile phase even under reducing deposition conditions. As a result, we succeeded in directly fabricating poly-TNO films with ρ of ~1×10-3 Ω cm and visible transmittance of 60~80%, although we still need to further improve these properties towards practical applications. By comparing carrier transport properties between poly-TNO films obtained by different synthesis routes, we discuss on material parameters that govern resistivity of poly-TNO films.

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 score0.007
Threshold uncertainty score0.209

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 head0.078
GPT teacher head0.264
Teacher spread0.186 · 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

Citations2
Published2008
Admission routes1
Has abstractyes

Explore more

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