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Record W2777515971 · doi:10.1139/cjc-2017-0512

An ethylene glycol-based new sol-gel route to multiferroic (1–<i>x</i>)LaCrO<sub>3</sub>–<i>x</i>BiCrO<sub>3</sub> solid solution

2017· article· en· W2777515971 on OpenAlexafffundvenue
Bahareh Abbasi, Haiyan Guo, Hua Wu, Hamel N. Tailor, Zuo‐Guang Ye

Bibliographic record

VenueCanadian Journal of Chemistry · 2017
Typearticle
Languageen
FieldMaterials Science
TopicMultiferroics and related materials
Canadian institutionsSimon Fraser University
FundersNatural Sciences and Engineering Research Council of CanadaUniversities Space Research Association
KeywordsEthylene glycolMultiferroicsChemistrySolid solutionAntiferroelectricitySol-gelDifferential thermal analysisCeramicPerovskite (structure)Analytical Chemistry (journal)DielectricPhysical chemistryChemical engineeringCrystallographyMaterials scienceFerroelectricityDiffractionOrganic chemistryNanotechnologyPhysicsOptics

Abstract

fetched live from OpenAlex

Solid solution of multiferroic (1–x)LaCrO3–xBiCrO3 has been synthesized in the perovskite structure via a new sol-gel route using ethylene glycol as solvent. This synthetic process proved to be superior to the solid state reaction method, with a lower formation temperature, improved reactivity, and a higher solubility limit. The complex chemical reactions taking place in the sol and precursor powder upon heating are investigated by simultaneous thermal gravimetry and differential thermal analysis (TG–DTA). The substitution of BiCrO3 for LaCrO3 results in a higher density for the ceramics and an increased electric conductivity at high temperatures. The sol-gel synthesized La1−xBixCrO3 solid solution (x = 0.3) exhibits a superparaelectric behaviour with a slim and nonlinear polarization – electric field hysteresis loop, whereas a double hysteresis loop of antiferroelectric appearance is displayed in the compound with x = 0.4.

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 head0.017
GPT teacher head0.258
Teacher spread0.241 · 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

Citations2
Published2017
Admission routes3
Has abstractyes

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