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Record W2014728729 · doi:10.1021/jp031259h

Mesostructured Fe Oxide Synthesized by Ligand-Assisted Templating with a Chelating Triol Surfactant

2004· article· en· W2014728729 on OpenAlexaff
Andrei Lezau, Michel L. Trudeau, Georgi M. Tsoi, L. E. Wenger, David M. Antonelli

Bibliographic record

VenueThe Journal of Physical Chemistry B · 2004
Typearticle
Languageen
FieldEnergy
TopicIron oxide chemistry and applications
Canadian institutionsUniversity of WindsorHydro-Québec
Fundersnot available
KeywordsMaghemiteCalcinationMaterials sciencePulmonary surfactantSuperparamagnetismOxideCrystallizationChemical engineeringCrystalliteIron oxideMesophaseTriolAkaganéiteInorganic chemistryMagnetiteChemistryMagnetizationAdsorptionPolymer chemistryOrganic chemistryMetallurgyGoethite

Abstract

fetched live from OpenAlex

The synthesis and properties of sulfate- and phosphate-free mesostructured iron oxide prepared using a chelating triol surfactant are reported. Materials synthesized using metal−surfactant ratios of 1:1, 2:1, 3:1, and 4:1 all showed a broad single reflection in the XRD at low angle corresponding to a wormhole mesostructure, as well as small higher angle peaks consistent with the presence of a small amount of maghemite and hemitite. TEM images confirmed the wormhole structure of the mesophase, while also revealing rodlike crystals corresponding to one or both of the two known phases of iron oxide observed in the XRD. Attempts to remove the surfactant by washing or chemical treatment were unsuccessful. Calcination led to a complete collapse of the structure and crystallization of the mesophase into maghemite. Magnetic studies provided evidence for the formation of superparamagnetic iron oxide particles within the walls of the mesostructure in addition to a small magnetic contribution arising from the presence of larger maghemite crystallites, while the calcined materials behaved more like a soft ferromagnet.

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 score0.605

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 integrity0.0000.001
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 head0.008
GPT teacher head0.226
Teacher spread0.218 · 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

Citations25
Published2004
Admission routes1
Has abstractyes

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