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Record W1965847016 · doi:10.1088/0022-3727/44/7/075301

Fabrication and mechanical properties of anodized zirconium dioxide nanotubular arrays

2011· article· en· W1965847016 on OpenAlexaff
Luning Wang, Jing‐Li Luo

Bibliographic record

VenueJournal of Physics D Applied Physics · 2011
Typearticle
Languageen
FieldEngineering
TopicFuel Cells and Related Materials
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsAnodizingMaterials scienceZirconium dioxideComposite materialFabricationDeformation (meteorology)Elastic modulusNanotechnologyAluminium

Abstract

fetched live from OpenAlex

A series of highly ordered ZrO 2 nanotubular arrays with different thickness was synthesized by changing the anodization voltage or anodization period. The thickness of the nanotubular arrays depended on the anodization voltage and anodization period. Openings of the tubular structure were only slightly affected by the anodization voltage. Microindentation tests demonstrated that the apparent Young's modulus, ratio of elastic energy to the total deformation energy and hardness decreased as the thickness of the nanotubular array films increased due to densification and collapse of longer nanotubes under external force. Resistance of nanotubular arrays to sliding wear was evaluated in different cultures. Wear loss, which was proportional to the width of the wear track, significantly decreased in water compared with that in air. The pH values of solutions slightly affected the width of the wear track of the ZrO 2 nanotubular arrays. The results showed that wear loss of the ZrO 2 nanotubular arrays and friction force on the ZrO 2 nanotubular arrays decreased with increasing pH from 2.5 to 13.

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 score0.027
Threshold uncertainty score0.511

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 head0.020
GPT teacher head0.178
Teacher spread0.158 · 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

Citations17
Published2011
Admission routes1
Has abstractyes

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