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Record W7010033762

Growing silicon thin–films laterally over amorphous substrates using the vapor–liquid–solid technique

2015· dissertation· en· W7010033762 on OpenAlexfundno aff

Bibliographic record

VenueeScholarship@McGill (McGill) · 2015
Typedissertation
Languageen
FieldArts and Humanities
TopicHistorical, Literary, and Cultural Studies
Canadian institutionsnot available
FundersNatural Sciences and Engineering Research Council of CanadaMcGill University
KeywordsAmorphous solidSiliconSubstrate (aquarium)Amorphous siliconTransmission electron microscopy
DOInot available

Abstract

fetched live from OpenAlex

A new technique for growing two-dimensional, laterally grown silicon crystals has been developed.This research borrows from previously reported crystal growing techniques such as Bridgman-Stockbarger growth, epitaxial layer overgrowth, and the vapor-liquid-solid method.Reviews of these technologies are presented.To achieve laterally growth of silicon films, a variant of the vapor-liquid-solid method was utilized, along with equipment and materials traditionally used for microelectronics, to fabricate test structures know as micro-crucibles.These test structures are templates of amorphous materials which confine gold catalyst to a specified geometry.Upon the introduction of a reactive, silicon-containing gas, which diffuses into the micro-crucible and preferentially cracks at the confined gold catalyst, the vaporliquid-solid process takes place and two-dimensional silicon crystals are nucleated from supersaturated gold-silicon alloys within the confines of the micro-crucible.The experimental techniques used to fabricate the micro-crucibles and analyze the silicon growth are described, and new theories on the mechanics of vapor-liquidsolid growth within the micro-crucible test structures are discussed.Semiconducting films grown laterally from micro-crucibles are potential enablers of photovoltaic, optical interconnect, three-dimensional transistor and silicon/III-V on-chip integration technologies, and micro-crucibles are as useful research tools for fundamental studies on grain boundary and solidification theory.v ABR ÉG É Une nouvelle technique pour faire croître des cristaux deux-dimensionnels de silicone, crûs latéralement, a été développée.Cette recherche prête des techniques rapportées antérieurement, tel que la croissance Bridgman-Stockbarger, la surcroissance épitaxiale par couches et la méthode vapeur-liquide-solide.Ces techniques sont révisées et discutées en détails.Pour obtenir des pellicules de silicone crues latéralement, une variation de la méthode vapeur-liquide-solide a été utilisée avec de l'équipement et des matériaux utilisés surtout dans des microélectroniques.Des structures tests, appelées des micro-creusets, ont donc été fabriquées.Ces structures tests sont des modèles de matériaux amorphes qui confinent un catalyseur d'or à une géométrie spécifique.Pendant l'introduction d'un gaz contenant de la silicone réactif, qui diffuse dans le micro-creuset et fend préférentiellement au catalyseur d'or confiné, le procédé vapeur-liquide-solide prend place et il y a une nucléation des cristaux de silicone deux-dimensionnels surgissant des alliages sursaturés d'or et de silicone dans les confines du micro-creuset.Les techniques expérimentales utilisées pour fabriquer les micro-creusets et pour analyser la croissance du silicone sont décrites, et de nouvelles théories sur les mécanismes de la croissance vapeur-liquidesolide dans les micro-creusets sont discutées.Les pellicules semi-conductrices crues latéralement sont des facilitatrices potentielles de photovoltaiques, d'interconnexions optiques, de transistors trois-dimensionnels et de technologies intégratrices de puces silicone/III-V.Les micro-creusets sont aussi des outils de recherche utiles pour des études fondamentales sur les fonds de grains et la théorie de solidification.vi

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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 score0.001
Threshold uncertainty score0.003

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 integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.001

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 head0.034
GPT teacher head0.256
Teacher spread0.222 · 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

Citations0
Published2015
Admission routes1
Has abstractyes

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