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Record W2093222190 · doi:10.1002/pen.23648

Morphology and mechanical properties of nanostructured acrylic tri‐block‐copolymer modified epoxy

2013· article· en· W2093222190 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

VenuePolymer Engineering and Science · 2013
Typearticle
Languageen
FieldEngineering
TopicEpoxy Resin Curing Processes
Canadian institutionsUniversity of CalgaryUniversity of Alberta
Fundersnot available
KeywordsMaterials scienceEpoxyCopolymerComposite materialMorphology (biology)Ultimate tensile strengthMicellePolymerAqueous solutionOrganic chemistry

Abstract

fetched live from OpenAlex

In this study, acrylic tri‐block‐copolymers of different compositions and constituents were used to modify an epoxy resin. In epoxy the block‐copolymers self‐assembled to generate different nanostructured phases. Spherical micelles and vesicles were formed due to preferential interactions among constituents of the blends. The effect of modifier concentration and morphology on the resulting mechanical properties was investigated. At a modifier content of 5 wt% a more than threefold increase in strain energy release rate was observed relative to the unfilled epoxy for the block‐copolymer/epoxy systems studied. This improvement was accompanied by slight reductions in tensile stiffness, strength and glass transition temperature of developed epoxy blends. Microstructural studies revealed that during crack propagation, vesicle and micelle structures respectively underwent debonding and cavitation followed by shear yielding of the substrate matrix. POLYM. ENG. SCI., 54:1047–1055, 2014. © 2013 Society of Plastics Engineers

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 score0.053
Threshold uncertainty score0.626

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 head0.012
GPT teacher head0.196
Teacher spread0.185 · 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