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Record W2160335438 · doi:10.1149/1.1393415

High-Temperature Mechanical Behavior of the Solid-State Electrolyte: La[sub 0.8]Sr[sub 0.2]Ga[sub 0.85]Mg[sub 0.15]O[sub 2.825]

2000· article· en· W2160335438 on OpenAlexaff
J. Wolfenstine, Ping Huang, Anthony Petric

Bibliographic record

VenueJournal of The Electrochemical Society · 2000
Typearticle
Languageen
FieldMaterials Science
TopicAdvancements in Solid Oxide Fuel Cells
Canadian institutionsMcMaster University
Fundersnot available
KeywordsCreepLattice diffusion coefficientActivation energyMaterials scienceGrain boundaryDiffusion creepGrain boundary diffusion coefficientElectrolyteDiffusionAtmospheric temperature rangeThermodynamicsGrain sizeGrain Boundary SlidingConductivityCondensed matter physicsIonic conductivityExponentComposite materialEffective diffusion coefficientElectrodeChemistryPhysical chemistryMicrostructurePhysics

Abstract

fetched live from OpenAlex

The creep behavior of fine‐grained (LSGM-2015) was investigated over the temperature range 1200 to 1300°C in air. The brief creep transients, value of the stress exponent close to unity, absence of deformation‐induced dislocations, and lack of grain‐shape change due to deformation suggest that the creep behavior of LSGM-2015 is controlled by grain boundary sliding accommodated by diffusion. The value of the grain‐size exponent close to two indicates that the rate‐controlling step is lattice diffusion. A comparison of the activation energy for creep with activation energies determined by ionic conductivity, oxygen tracer diffusion, and theoretical predictions reveal that the creep rate of LSGM-2015 is controlled by cation lattice diffusion. © 2000 The Electrochemical Society. All rights reserved.

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 score0.005

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 head0.005
GPT teacher head0.239
Teacher spread0.234 · 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

Citations22
Published2000
Admission routes1
Has abstractyes

Explore more

Same venueJournal of The Electrochemical SocietySame topicAdvancements in Solid Oxide Fuel CellsFrench-language works237,207