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Record W2519548894 · doi:10.1149/ma2016-02/38/2766

Thermal Behaviour of Nafion Thin Films

2016· article· en· W2519548894 on OpenAlexaff
Chi Zhang, Vinayraj Ozhukil Kollath, Kunal Karan

Bibliographic record

VenueECS Meeting Abstracts · 2016
Typearticle
Languageen
FieldEngineering
TopicFuel Cells and Related Materials
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsMaterials scienceNafionIonomerThin filmThermal expansionGlass transitionEllipsometryComposite materialPolymerPhase transitionFourier transform infrared spectroscopySpin coatingCoatingAnalytical Chemistry (journal)Chemical engineeringNanotechnologyElectrochemistryChemistryOrganic chemistryThermodynamics

Abstract

fetched live from OpenAlex

Sub-micron Nafion films are relevant to several electrochemical devices including polymer electrolyte fuel cells, sensors and actuators. Such thin films are invariably fabricated from dispersion of the ionomer in suitable solvent, e.g. by drop-casting, spin-coating or self-assembly. Often a thermal treatment or annealing step is applied to improve the mechanical properties of the film and relax the polymers. Thus, understanding the response of the ionomer thin film subjected to thermal changes is important. Furthermore, thermal characteristics of the ionomer such as glass transition temperature and thermal expansion coefficient can provide fundamental insight into structure and the nature of the interaction with the substrate. We have initiated an in-situ thermal ellipsometry and thermal FTIR study to probe the response of 20-650 nm thick Nafion thin films supported on SiO2 substrate. Ellipsometry experiments yield the thickness change as a function of temperature. This set of data yields thermal expansion coefficient of the Nafion films. The change in slope of the thickness change with temperature provides information on the nature of phase transition – glassy to rubbery or disorder-to-order. The thermal FTIR is being used as a complimentary technique to probe whether the phase change phenomenon manifests as a dramatic change in response in one of the characteristic peaks. The results obtained so far indicate that the thermal expansion coefficient of Nafion films 60 nm and lower thickness is changes with thickness but those of the films above 60 nm thickness converges to that of the bulk material. No distinct transition in slope of thickness change is observed. That is, no glass transition like behavior is observed. No thickness-dependent response in FTIR peak is observed. A sharp change in the 638-626 cm-1 doublet region is observed at temperature corresponding to the so-called a transition for Nafion. To the best of our knowledge, there have been no prior studies on in-situ thermal ellipsometry or in-situ thermal FTIR of Nafion thin films.

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 score0.002
Threshold uncertainty score0.007

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)0.0020.000

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 head0.009
GPT teacher head0.200
Teacher spread0.192 · 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

Citations0
Published2016
Admission routes1
Has abstractyes

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