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Record W2889202661 · doi:10.14447/jnmes.v17i1.440

Investigation of Electrodeposited WO3 Film with Heat Treatment

2014· article· en· W2889202661 on OpenAlexvenueno aff
Yih-Min Yeh, Hsiang Chen

Bibliographic record

VenueJournal of New Materials for Electrochemical Systems · 2014
Typearticle
Languageen
FieldMaterials Science
TopicTransition Metal Oxide Nanomaterials
Canadian institutionsnot available
Fundersnot available
KeywordsCyclic voltammetryElectrochromismMaterials scienceScanning electron microscopeTin oxideTransmittanceChemical engineeringDeposition (geology)DopingElectrochromic devicesThin filmDiffractionAnalytical Chemistry (journal)Composite materialNanotechnologyElectrochemistryOptoelectronicsElectrodeOpticsChemistryOrganic chemistry

Abstract

fetched live from OpenAlex

In this research, we propose an alternative method to fabricate WO3 films as electro chromatic devices (ECDs). To fabricate the electrochromic film, we electrochemically deposit a WO3 film on FTO (fluorine-doped tin oxide). The deposited film was crystallized with heat treatment at various temperatures. To investigate the material quality of the film in different deposition and heat treatment conditions, X-ray diffraction (XRD) was used to examine the crystalline structure and scanning electron microscope (SEM) was used to analyze the surface morphology. Furthermore, the electrical performance of the film was evaluated by cyclic voltammetry (CV) and the transmittance modulation could still attain above 40% after 1000 times repeated cycles. The electrochromatic behavior has been demonstrated in WO3, electrodeposition, electrochromatic device, cyclic voltammetry, heat treatmentwavelength between 780 nm to 1050 nm.

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)0.001
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 score0.793

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.014
GPT teacher head0.226
Teacher spread0.212 · 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

Citations3
Published2014
Admission routes1
Has abstractyes

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