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Record W2147610783 · doi:10.1021/jp801439r

Self-Organizing Growth of MgAl<sub>2</sub>O<sub>4</sub> Based Heterostructural Nanochains

2008· article· en· W2147610783 on OpenAlexaff
Yong Zhang, Ruying Li, Xiaorong Zhou, Mei Cai, Xueliang Sun

Bibliographic record

VenueThe Journal of Physical Chemistry C · 2008
Typearticle
Languageen
FieldEngineering
TopicNanowire Synthesis and Applications
Canadian institutionsWestern University
Fundersnot available
KeywordsSpinelNanowireMethanolAmorphous solidMaterials scienceNanotechnologyChemical vapor depositionHeterojunctionCatalysisNanoparticleOxideChemical engineeringOptoelectronicsChemistryMetallurgyCrystallographyOrganic chemistry

Abstract

fetched live from OpenAlex

Heterostructural nanochains consisting of crystalline spinel MgAl 2 O 4 “nanowires” and amorphous compound oxide “nanobeads” have been synthesized via a simple chemical vapor deposition process. Introduction of methanol is found to play a key role in the generation of the chainlike structure. The regularly spaced nanobeads are obtained on the surface of the spinel nanowires with the introduction of methanol, while only random nanoparticles are observed on the nanowires without methanol. A two-step self-organizing growth model has been proposed. Deep understanding of this distinct chainlike heterostructure is expected to promote the development of novel electrical, optical, and selective catalytic nanodevices.

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)0.000
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 score0.004
Threshold uncertainty score0.690

Codex and Gemma teacher scores by category

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)0.0000.000

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 head0.181
Teacher spread0.175 · 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

Citations7
Published2008
Admission routes1
Has abstractyes

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