MétaCan
Menu
Back to cohort
Record W1975869515 · doi:10.1002/pen.20111

Morphology and performance of epoxy nanocomposites modified with organoclay and rubber

2004· article· en· W1975869515 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 · 2004
Typearticle
Languageen
FieldEngineering
TopicEpoxy Resin Curing Processes
Canadian institutionsConcordia University
Fundersnot available
KeywordsOrganoclayMaterials scienceNanocompositeComposite materialEpoxyNatural rubberToughnessFracture toughnessScanning electron microscope

Abstract

fetched live from OpenAlex

Abstract Hybrid epoxy nanocomposites modified with carboxyl‐terminated butadiene acrylonitrile (CTBN) rubber and organoclay were synthesized. The morphology of those nanocomposites was studied with X‐ray diffraction (XRD), Atomic Force Microscopy (AFM) and Scanning Electron Microscopy (SEM). The results showed that most of the organoclay in the nanocomposites was exfoliated and high cure temperatures benefit the formation of exfoliated nanocomposites. Organoclay simultaneously improved fracture toughness, compressive modulus, yield strength and ultimate strength of the epoxy resin. Organoclay not only enhanced T g , yield strength and ultimate strength of rubber‐modified epoxies, but also further improved their fracture toughness. There was a superposition effect on fracture toughness of the hybrid epoxy nanocomposites modified with both rubber and organoclay. Polym. Eng. Sci. 44:1178–1186, 2004. © 2004 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 score0.048
Threshold uncertainty score0.407

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 head0.005
GPT teacher head0.182
Teacher spread0.177 · 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