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Effect of annealing on the specific heat of optimally doped Ba(Fe<sub>0.92</sub>Co<sub>0.08</sub>)<sub>2</sub>As<sub>2</sub>

2011· article· en· W1567926562 on OpenAlexaff

Bibliographic record

VenueJournal of Physics Conference Series · 2011
Typearticle
Languageen
FieldMaterials Science
TopicIron-based superconductors research
Canadian institutionsMcMaster University
Fundersnot available
KeywordsSpecific heatAnnealing (glass)AnisotropyDopingLattice (music)Residual

Abstract

fetched live from OpenAlex

We report the temperature dependence of the low-temperature specific heat down to 400 mK of the electron-doped Ba(Fe 0.92 Co 0.08 ) 2 As 2 superconductors. We have measured two samples extracted from the same batch: first sample has been measured just after preparation with no additional heat treatment. The sample shows T c =20 K, residual specific heat γ 0 =3.6 mJ/mol K 2 and a Schottky-like contribution at low temperatures. A second sample has been annealed at 800 °C for two weeks and shows T c =25 K and γ 0 =1.4 mJ/mol K 2 . By subtracting the lattice specific heat, from pure BaFe 2 As 2 , the temperature dependence of the electronic specific heat has been obtained and studied. For both samples the temperature dependence of C el (T) clearly indicate the presence of low-energy excitations in the system. Their specific heat data cannot be described by single clean s- or d -wave models and the data requires an anisotropic gap scenario which may or may not have nodes.

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)0.001
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 score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
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)0.0020.000

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 head0.041
GPT teacher head0.270
Teacher spread0.229 · 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

Citations10
Published2011
Admission routes1
Has abstractyes

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