MétaCan
Menu
Back to cohort
Record W2144150682 · doi:10.1149/05801.0473ecst

STXM Characterization of Nanostructured Thin Film Anode Before and After Start-Up Shutdown and Reversal Tests

2013· article· en· W2144150682 on OpenAlex
Vincent Lee, Darija Susac, Sumit Kundu, Viatcheslav Berejnov, Radoslav Atanasoski, Adam P. Hitchcock, Jürgen Stumper

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueECS Transactions · 2013
Typearticle
Languageen
FieldEnergy
TopicElectrocatalysts for Energy Conversion
Canadian institutionsAutomotive Fuel Cell Cooperation (Canada)McMaster University
FundersLawrence Berkeley National Laboratory
KeywordsAnodeMaterials sciencePerylenePenetration (warfare)SynchrotronCharacterization (materials science)MicroscopyThin filmProton exchange membrane fuel cellChemical engineeringCatalysisNanotechnologyElectrodeOpticsChemistryMoleculeOrganic chemistry

Abstract

fetched live from OpenAlex

Nanostructured thin film (NSTF) catalysts are promising for proton exchange membrane fuel cell applications. We have used synchrotron based scanning transmission soft X-ray microscopy (STXM) to evaluate composition and structure of NSTF anodes prepared by decaling and the changes that occur after start-up shut-down and reversal testing. We find the metal decorated perylene red support material is mechanically compressed, so that there is very little penetration of the catalyst into the membrane. Such a structure exhibits little or no chemical modification upon generating the PEM-FC structure. In contrast, after the testing there is essentially no perylene red material detected. However, there is no evidence that the loss of the perylene red support affects the catalytic properties of the anode NSTF structure.

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.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.471
Threshold uncertainty score0.778

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 integrity0.0000.000
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 head0.004
GPT teacher head0.185
Teacher spread0.181 · 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