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Record W2175224168 · doi:10.1149/05027.0153ecst

Magnesium Manganese Spinel Coatings for Solid Oxide Fuel Cell Interconnects

2013· article· en· W2175224168 on OpenAlexafffund
Simon Joshi, Catherine Silva, Anthony Petric

Bibliographic record

VenueECS Transactions · 2013
Typearticle
Languageen
FieldEngineering
TopicElectrical and Thermal Properties of Materials
Canadian institutionsMcMaster University
FundersNatural Sciences and Engineering Research Council of CanadaMcMaster University
KeywordsSpinelMaterials scienceManganeseMagnesiumCopperMetallurgyConductivityTernary operationElectrical resistivity and conductivityCoatingOxideSolid oxide fuel cellChemical engineeringChemistryElectrodeComposite material

Abstract

fetched live from OpenAlex

Magnesium and manganese were electrodeposited on stainless steel 430 and oxidized in air at 800°C to form a spinel coating. Electrical conductivity of MgMn2O4 spinel was determined to be ~2 S/cm at 800°C. An under layer of copper aided uniform manganese deposition and uniform spinel formation. Copper in the spinel also increased conductivity (Cu0.7Mg0.3Mn2O4 ~60 S/cm at 800°C). The ternary Cu-Mg-Mn system has a wide spinel stability region compared to binary systems. CuMn2O4 spinel without magnesium has higher conductivity (~100 S/cm at 800°C) but this coating tended to bubble and detach from the substrate. The bubbling effect was reduced when magnesium was co-deposited.

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)0.000
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 score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

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 communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.009
GPT teacher head0.190
Teacher spread0.182 · 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

Citations5
Published2013
Admission routes2
Has abstractyes

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