MétaCan
Menu
Back to cohort
Record W2222862165 · doi:10.1209/0295-5075/111/18005

Modification of surface chemistry by lattice Sn doping in BiFeO <sub>3</sub> nanofibers

2015· article· en· W2222862165 on OpenAlex
M. Abdus Sobhan, Qiang Xu, Jianqing Zhao, Aaron D. Franklin, Yongfeng Hu, J. S. Tse, Ping Wu

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueEurophysics Letters (EPL) · 2015
Typearticle
Languageen
FieldMaterials Science
TopicMultiferroics and related materials
Canadian institutionsCanadian Light Source (Canada)University of Saskatchewan
Fundersnot available
KeywordsMaterials scienceDopingNanofiberSurface modificationLattice (music)Condensed matter physicsChemical engineeringNanotechnologyPhysicsOptoelectronics

Abstract

fetched live from OpenAlex

Results on X-ray near edge structure (XANES) study on Sn-doped BiFeO 3 (BFO) nanofibers with varying Sn concentrations of 1%, 3%, and 5% are reported. The results indicate that the oxidation state of Sn ions in the BFO structure is +4. In addition, we observe a bismuth peak (Bi M 1 ) at 4000 eV in the XANES spectrum, suggesting the diffusion of Bi ions onto the surface of BFO nanostructure. The diffusion is attributed to the charge compensation between donor electrons from the Sn atoms and Bi vacancies. These findings are of high relevance to surface chemistry reactions in sensing and catalytic applications.

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.

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 score0.843

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 head0.021
GPT teacher head0.234
Teacher spread0.213 · 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