MétaCan
Menu
Back to cohort
Record W2049842811 · doi:10.1021/cm100107p

How Processing Atmosphere Influences the Evolution of GeO<sub>2</sub>-Embedded Germanium Nanocrystals Obtained from the Thermolysis of Phenyl Trichlorogermane-Derived Polymers

2010· article· en· W2049842811 on OpenAlexaff
Eric J. Henderson, Colin M. Hessel, Ronald G. Cavell, Jonathan G. C. Veinot

Bibliographic record

VenueChemistry of Materials · 2010
Typearticle
Languageen
FieldMaterials Science
TopicSilicon Nanostructures and Photoluminescence
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsGermaniumOxideNanocrystalInert gasMaterials scienceThermal decompositionPolymerDisproportionationAtmosphere (unit)Reducing atmosphereChemical engineeringNanotechnologyChemistrySiliconOptoelectronicsOrganic chemistryMetallurgyCatalysisPhysics

Abstract

fetched live from OpenAlex

We report the influence of processing atmosphere on the evolution of oxide-embedded germanium nanocrystals (Ge-NCs) formed by the thermal processing of (C 6 H 5 GeO 1.5 ) n sol−gel polymers. In an inert processing atmosphere (100% Ar), the generation of elemental Ge from thermally induced disproportionation of the germanium rich oxide (GRO) leads to GeO 2 -embedded Ge-NCs whose size is independent of peak processing temperature and time. Processing in a slightly reducing atmosphere (5% H 2 /95% Ar) activates a second Ge-NC formation and growth pathway, involving the reduction of Ge oxide species. Here, we report that the processing atmosphere governs the distribution of Ge species. By modifying the contributions from redistribution and reduction reactions within the GRO, diffusion of Ge atoms throughout the oxide matrix and formation and growth of Ge-NCs are impacted.

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 score0.005
Threshold uncertainty score0.711

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 studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.005
GPT teacher head0.202
Teacher spread0.196 · 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

Citations17
Published2010
Admission routes1
Has abstractyes

Explore more

Same venueChemistry of MaterialsSame topicSilicon Nanostructures and PhotoluminescenceFrench-language works237,207