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Record W1975460976 · doi:10.1021/cm9015047

Ferroelectric BaTiO<sub>3</sub> Nanowires by a Topochemical Solid-State Reaction

2009· article· en· W1975460976 on OpenAlexaff
María Teresa Buscaglia, Cătălin Harnagea, Monica Dapiaggi, Vincenzo Buscaglia, A. Pignolet, Paolo Nanni

Bibliographic record

VenueChemistry of Materials · 2009
Typearticle
Languageen
FieldMaterials Science
TopicFerroelectric and Piezoelectric Materials
Canadian institutionsInstitut National de la Recherche Scientifique
Fundersnot available
KeywordsNanowireFerroelectricityMaterials scienceTetragonal crystal systemPiezoresponse force microscopyNanocrystalNanotechnologyFabricationNanostructureTemplateBarium titanateCrystallographyCrystal structureOptoelectronicsDielectricChemistry

Abstract

fetched live from OpenAlex

The possible existence of a new kind of ferroelectric order and the need to explore domain arrangement in ferroelectric nanostructures has stimulated an increasing activity on the growth of ferroelectric nanowires. In the present study, single crystal BaTiO 3 nanowires with tetragonal structure were obtained by an original solid-state process using layered titania nanowires coated with BaCO 3 nanocrystals as reactive templates. Formation of BaTiO 3 occurs at 700 °C by a topochemical reaction. Consequently, the initial morphology of the titania nanowires is retained in the final product. Piezoresponse force microscopy measurements show a strong piezoactivity and stripe domain patterns with domain width of 20−50 nm, predominant in-plane response and 90° domain walls. The proposed synthesis method is quite general and might be adapted to the fabrication different ferroelectric and nonferroelectric oxide nanowires.

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 score0.001
Threshold uncertainty score0.003

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)0.0010.000

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 head0.007
GPT teacher head0.226
Teacher spread0.219 · 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

Citations71
Published2009
Admission routes1
Has abstractyes

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