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Record W2109850896 · doi:10.1002/ppap.201400162

Correlation Between Mechanical Properties and Cross‐Linking Degree of Ethyl Lactate Plasma Polymer Films

2015· article· en· W2109850896 on OpenAlex

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

VenuePlasma Processes and Polymers · 2015
Typearticle
Languageen
FieldEngineering
TopicAdvanced Sensor and Energy Harvesting Materials
Canadian institutionsPolytechnique Montréal
Fundersnot available
KeywordsNanoindentationMaterials sciencePolymerCreepComposite materialViscoelasticityCoatingPlasma

Abstract

fetched live from OpenAlex

Plasma polymer films are more and more used in numerous applications such as the day‐to‐day packaging, which requires a good mechanical resistance of the coating. Since mechanical properties are function of the cross‐linking degree of the thin films, it is important to understand the relationship between the two. In this work, plasma polymer films were studied in terms of cross‐linking degree and mechanical properties, measured by means of ToF‐SIMS coupled to PCA and depth‐sensing nanoindentation, respectively. The data reveal that when the power increases, the films are more cross‐linked and show higher hardness, higher elastic recovery, lower creep strain and an increased ability for self‐healing. As the plasma polymer films are more cross‐linked, the plasticity drops and the viscoelasticity and hardness increase.

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 score0.379
Threshold uncertainty score0.631

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 communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.056
GPT teacher head0.246
Teacher spread0.190 · 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