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Record W6987192040

Solid state metathesis synthesis for ZnO-based
\nmaterials towards applications in light-emitting
\ndiodes and ultra-violet-sensing devices

2018· dissertation· en· W6987192040 on OpenAlexaff

Bibliographic record

VenueMemorial University Research Repository (Memorial University) · 2018
Typedissertation
Languageen
FieldMaterials Science
TopicZnO doping and properties
Canadian institutionsMemorial University of Newfoundland
Fundersnot available
KeywordsNucleofectionTSG101Gestational periodProteogenomicsFusible alloyHyporeflexiaDiafiltration
DOInot available

Abstract

fetched live from OpenAlex

Solid state metathesis (SSM) has gained much attention for the synthesis of ZnObased
\nsemiconductors. SSM is a synthesis method that avoids organic solvents, high
\ntemperature calcination, and it is simple and fast. Co-doped ZnO has already been
\nsynthesized by several other methods (co-precipitation method, sol-gel). We wanted
\nto use SSM to make Co-doped ZnO, in which Zn²⁺ ions are replaced by Co²⁺ ions.
\nThe thesis work goal was to prepare Co-doped ZnO to use it in light emitting diodes
\nas a red light emitter. Raman spectra of the attempted Co-doped ZnO confirms the
\nformation Co(OH)₂ as a secondary phase, which in turns converts into Co₃O₄ during
\nhigh temperature calcination. There were no characteristic peaks in the visible region
\nof UV-Vis spectra that would correspond to the emission of red light.
\nStoichiometric ZnO films are good candidates for use in various sensing devices.
\nThe frequency-dependent UV response of SSM-produced ZnO films were studied under
\nAC conditions. After storing in the dark for several days, the UV responses were
\nstudied by electrochemical impedance spectroscopy (EIS). The resulting data allow
\ndetermination, for each individual film, what range of frequencies are appropriate for
\nuse in UV sensing.

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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
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 score0.064
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.001
Science and technology studies0.0030.001
Scholarly communication0.0010.001
Open science0.0020.000
Research integrity0.0010.001
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 head0.033
GPT teacher head0.292
Teacher spread0.259 · 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.

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
Published2018
Admission routes1
Has abstractyes

Explore more

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