MétaCan
Menu
Back to cohort
Record W4233848324 · doi:10.22215/etd/2013-10004

Thin Film Precursors, Properties and Applications: Chemical Vapour Deposition and Atomic Layer Deposition of Group 4, 11 and 13 Elements and Their Oxides

2013· dissertation· en· W4233848324 on OpenAlexaff
Peter C. Gordon

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldEngineering
TopicSurface Roughness and Optical Measurements
Canadian institutionsCarleton University
Fundersnot available
KeywordsMaterials scienceAtomic layer depositionThin filmSiliconIndiumChemical vapor depositionLayer (electronics)Deposition (geology)Chemical engineeringAnalytical Chemistry (journal)NanotechnologyOptoelectronicsOrganic chemistryChemistry

Abstract

fetched live from OpenAlex

Brass and bronze substrates were coated by atomic layer deposition (ALD) with alumina and titania in small and large scale batches.These films were evaluated for use as protective and cosmetic coatings.Optimization of deposition parameters for uniform coatings both on individual coins and across a batch for Al 2 O 3 and TiO 2 films was performed.The effect of film thickness on colour was examined.High-quality, uniform coatings were achieved with multi-pulse programs.The interference colours resulting from thin films of Al 2 O 3 deposited by ALD on silicon were analyzed using a robotic gonioreflectometer.A series of thin films were deposited and their reflectivity values obtained for the visible spectrum.A comparison of these values with the predictions of computer simulations has revealed deviations from predicted reflectivities.The effect of these discrepancies on perceived colour appearance was investigated.Simulation predicts larger iridescence than what was observed.Alumina films were deposited by ALD on flat and nanostructured silicon substrates, and incorporated into PEDOT-Al 2 O 3 -silicon architectures that were then evaluated as photovoltaic devices.The reverse saturation currents observed on flat devices made with Al 2 O 3 films were similar devices made with an SiO 2 layer.The structured samples with Al 2 O 3 showed a considerable increase in efficiency (of up to five times) over the equivalent flat samples.A new indium(III) guanidinate, (In[(N i Pr) 2 CNMe 2 ] 3 , was synthesized.Thermogravimetric analysis showed elemental indium was produced from the compound as a residual mass.Thermolysis in a sealed NMR tube showed carbodiimide and protonated dimethyl amine by 1 H NMR. Chemical vapour deposition (CVD) experiments above 275 °C with air as the reactant gas produced cubic indium oxide films with good transparency.Dimeric silver(I) and gold(I) tert-butyl-imino-2,2-dimethylpyrrolidinates were synthesized and evaluated for thermal stability by thermal gravimetric analysis, differential scanning calorimetry and variable-temperature solution NMR.The compounds were used to deposit metallic films on silicon and glass substrates by CVD, with and without a flow of heated nitrogen gas.The compounds decomposed to produce metallic films at 140 °C for the silver compound and 300 °C for the gold compound.Additional CVD experiments with heated nitrogen gas flow improved film uniformity without sacrificing film purity.

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 score0.007

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)0.0020.001

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 head0.015
GPT teacher head0.208
Teacher spread0.192 · 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

Citations1
Published2013
Admission routes1
Has abstractyes

Explore more

Same topicSurface Roughness and Optical MeasurementsFrench-language works237,207