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Record W2109797046 · doi:10.1109/77.919701

Microstructure and superconducting properties of Bi-2212/Ag tapes

2001· article· en· W2109797046 on OpenAlexaff
Wen Zhu, D.R. Watson, J.R. Cave

Bibliographic record

VenueIEEE Transactions on Applied Superconductivity · 2001
Typearticle
Languageen
FieldPhysics and Astronomy
TopicPhysics of Superconductivity and Magnetism
Canadian institutionsHydro-Québec
Fundersnot available
KeywordsMicrostructureMaterials scienceSuperconductivitySquidElectrical conductorHigh-temperature superconductivityMagnetic fieldFlux pinningScanning electron microscopeMagnetometerCurrent densityPhase (matter)Analytical Chemistry (journal)Condensed matter physicsNuclear magnetic resonanceComposite materialPhysics

Abstract

fetched live from OpenAlex

In order to understand the effects of processing parameters on the formation of Bi-2212 phase and to improve superconducting properties, Bi2212 (nominal composition Bi/sub 2/Sr/sub 2/Ca/sub 1/Cu/sub 2/O/sub x/), sheathed with silver was fabricated and thermo-mechanically treated for this study. Scanning electron microscopy was employed to investigate the phases and microstructure at different stages of the Bi-2212 formation and in the final materials. A SQUID magnetometer was used to characterize the T/sub c/ of the conductors. Voltage-current (V-I) characteristics were measured with a standard four-probe method at 77 K in different magnetic fields in order to improve the correlation of magnetic properties to microstructural properties. The critical current density is /spl sim/15000 A/cm/sup 2/ at 77 K self field. The critical current distribution in the conductors was studied by computing the second differential of the VI curves and the correlation between the microstructure and the second differential was analyzed. The current transfer to the metal sheath and the effect of the sheath on the shape of the VI curve are discussed.

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 categoriesMeta-epidemiology (narrow)
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 score0.032
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.002
Open science0.0000.000
Research integrity0.0000.001
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 head0.023
GPT teacher head0.220
Teacher spread0.197 · 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.

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
Published2001
Admission routes1
Has abstractyes

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