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Continuous Synthesis of Tin and Indium Oxide Nanoparticles in Sub‐ and Supercritical Water

2007· article· en· W2110571632 on OpenAlexaff
Zhen Fang, Hassane Assaaoudi, R. I. L. Guthrie, Janusz A. Koziński, Ian S. Butler

Bibliographic record

VenueJournal of the American Ceramic Society · 2007
Typearticle
Languageen
FieldMaterials Science
TopicCatalytic Processes in Materials Science
Canadian institutionsMcGill University
Fundersnot available
KeywordsSupercritical fluidMaterials scienceNanoparticleNanocrystalline materialTetragonal crystal systemIndiumCalcinationTransmission electron microscopyIndium tin oxideTinRaman spectroscopyChemical engineeringParticle sizeTin oxideScanning electron microscopeDifferential scanning calorimetryAnalytical Chemistry (journal)OxideCrystallographyNanotechnologyCrystal structureChemistryMetallurgyThin filmOrganic chemistryOpticsComposite material

Abstract

fetched live from OpenAlex

Nanocrystalline tin and indium oxides (In 2 O 3 /SnO 2 ) were synthesized in sub‐ and supercritical water at 350°/380°C and 30 MPa in <73 s in a tubular flow reactor from an aqueous solution of {SnCl 4 +InCl 3 } (0.2 M ). The conversion rate for tin was 100%. Nanoparticles were analyzed by transmission electron microscopy (TEM), emitted X‐rays, Raman, differential scanning calorimetry, and X‐ray diffraction techniques. The bulk particles were composed of In, Sn, and O atoms, and made up of cubic In 2 O 3 (10 nm) and tetragonal SnO 2 (5.5 nm) crystals. After calcination at 500°C for 2 h, little change occurred in the particle size and crystal phase. Traces of tin‐doped indium oxide particles were also formed as confirmed by the TEM electron diffraction pattern. Using this one‐step, high‐temperature hydrothermal process, oxide nanoparticles can be continuously and conveniently produced in a well‐controlled process.

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 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 score0.002
Threshold uncertainty score0.005

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 integrity0.0000.000
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 head0.241
Teacher spread0.235 · 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

Citations20
Published2007
Admission routes1
Has abstractyes

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Same venueJournal of the American Ceramic SocietySame topicCatalytic Processes in Materials ScienceFrench-language works237,207