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Magnetic and ferroelectric properties of Fe doped SrTiO<sub>3-δ</sub>films

2010· article· en· W2036175004 on OpenAlex
A. Sendil Kumar, Pittala Suresh, M. Mahesh Kumar, H. Srikanth, Michael L. Post, Kathy Sahner, Ralf Moos, S. Srinath

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

VenueJournal of Physics Conference Series · 2010
Typearticle
Languageen
FieldMaterials Science
TopicFerroelectric and Piezoelectric Materials
Canadian institutionsNational Research Council Canada
Fundersnot available
KeywordsFerroelectricityMaterials scienceCurie temperatureCondensed matter physicsDielectricAntiferromagnetismDopingMicrowaveElectrical resistivity and conductivityHysteresisCurieAtmospheric temperature rangeStrontium titanateOptoelectronicsFerromagnetismThermodynamicsPhysics

Abstract

fetched live from OpenAlex

Recent interest in SrTiO3 stems from its wide applicability in microwave devices based on the tunable characteristics of dielectric constant in the microwave frequency range. It is obvious that for any such application, SrTiO3 should have a ferroelectric Curie temperature (TC) close to room temperature or higher. By inducing strains by chemical substitutions, it was possible to obtain TC as high as 200oC in SrTiO3 modified with Fe4+. Hysteresis loops obtained confirms the presence of ferroelectric domains. Two apparent transitions, one at ~200 oC and another ~300 oC were seen in ε′, which are replicated as sharp drops in resistivity curves. These temperatures far exceed the TCs reported in the literature till now and could open new avenues for innumerable other applications for SrTiO3. The magnetic properties of Fe doped SrTiO3 are also investigated. Low doping of Fe exhibits simple antiferromagnetic behaviour.

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)0.001
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 score0.031
Threshold uncertainty score0.756

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.016
GPT teacher head0.211
Teacher spread0.194 · 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