MétaCan
Menu
Back to cohort
Record W2766895486 · doi:10.1063/1.4996113

A magneto-optical study on magnetic flux expulsion and pinning in high-purity niobium

2017· article· en· W2766895486 on OpenAlexfundno aff
Julia-Marie Köszegi, Oliver Kugeler, Daniel Abou‐Ras, Jens Knobloch, Rudolf Schäfer

Bibliographic record

VenueJournal of Applied Physics · 2017
Typearticle
Languageen
FieldPhysics and Astronomy
TopicPhysics of Superconductivity and Magnetism
Canadian institutionsnot available
FundersDeutsches Elektronen-SynchrotronTRIUMF
KeywordsNiobiumMaterials scienceTrappingFlux pinningCondensed matter physicsFlux (metallurgy)IngotMagnetic fieldMagnetic fluxPhase (matter)Pinning forceSuperconductivityMetallurgyChemistryHigh-temperature superconductivityPhysics

Abstract

fetched live from OpenAlex

The magnetic flux trapped inside high-purity niobium samples after field cooling was investigated by indirect magneto-optical imaging using an indicator film. The detected magnetic field was compared with the field present during the phase transition, and the distribution of trapped flux was investigated. The measurements were performed on an untreated sample cut from an ingot and a sample that was heated at 1400 °C for 4 h. For untreated niobium, the trapped flux was found to be homogeneously distributed and almost all applied field during phase transition was trapped. In contrast, the heat treated niobium showed significantly reduced trapping. Neither did the grain boundaries play a major role as pinning centers nor did the crystal orientation influence the amount of trapped flux significantly, which is contrary to recent assumptions. However, niobium hydrides, which formed during the cool-down-stage to cryogenic temperatures, were found to enhance trapping considerably.

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 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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.400
Threshold uncertainty score0.855

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 communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
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 head0.018
GPT teacher head0.258
Teacher spread0.240 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
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

Citations12
Published2017
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Applied PhysicsSame topicPhysics of Superconductivity and MagnetismFrench-language works237,207