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Record W2076225428 · doi:10.1149/1.3519870

The Application of Electric Fields to Aerosol Assisted Chemical Vapor Deposition Reactions

2010· article· en· W2076225428 on OpenAlexfundno aff
Jared Crane, Michael E. A. Warwick, Richard J. Smith, Neza Furlan, Russell Binions

Bibliographic record

VenueJournal of The Electrochemical Society · 2010
Typearticle
Languageen
FieldMaterials Science
TopicTransition Metal Oxide Nanomaterials
Canadian institutionsnot available
FundersUniversity College LondonRoyal SocietyCardiff UniversityRyerson University
KeywordsChemical vapor depositionX-ray photoelectron spectroscopyRaman spectroscopyCombustion chemical vapor depositionThin filmMicrostructureChemical engineeringMaterials scienceMicroelectronicsAerosolVanadiumChemistryAnalytical Chemistry (journal)NanotechnologyCarbon filmInorganic chemistryOpticsOrganic chemistryComposite material

Abstract

fetched live from OpenAlex

Chemical vapor deposition methodologies are widely employed in a variety of fields such as microelectronics and glazing. Control of film growth and microstructure, and hence film properties, may be limited by precursor properties such as volatility or decomposition chemistry. In this paper we report how the incorporation of an applied electric field to aerosol assisted chemical vapor deposition reactions of vanadyl acetylacetonate in alcohols can influence the microstructure and growth of thin films of vanadium dioxide in unusual and sometimes unexpected ways. The films were characterized using scanning electron microscopy, X-ray diffraction, X-ray photoelectron spectroscopy, and Raman spectroscopy. (C) 2010 The Electrochemical Society. [DOI: 10.1149/1.3519870] All rights reserved.

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 score0.025
Threshold uncertainty score0.264

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 science0.0010.000
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 head0.006
GPT teacher head0.243
Teacher spread0.237 · 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

Citations30
Published2010
Admission routes1
Has abstractyes

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