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Record W2051109151 · doi:10.1002/app.13504

Study of the mechanical and electrical properties of carbon/poly(vinylidene fluoride–tetrafluoroethylene– propylene) films crosslinked with triethylenetetramine: Possible application as binder for lithium‐ion battery electrodes

2004· article· en· W2051109151 on OpenAlexaff
Zonghai Chen, Lars Harder Christensen, J. R. Dahn

Bibliographic record

VenueJournal of Applied Polymer Science · 2004
Typearticle
Languageen
FieldEngineering
TopicAdvanced Sensor and Energy Harvesting Materials
Canadian institutionsDalhousie University
Fundersnot available
KeywordsMaterials scienceTriethylenetetramineTetrafluoroethyleneCarbon blackComposite materialPolymerElectrolyteFluoridePolymer chemistryLithium batteryLithium (medication)Chemical engineeringElectrodeNatural rubberIonOrganic chemistryInorganic chemistryChemistryCopolymer

Abstract

fetched live from OpenAlex

Abstract The mechanical properties of poly(vinylidene fluoride–tetrafluoroethylene–propylene) (PVDF–TFE–P) were evaluated as a function of the degree of crosslinking. Both bisphenol and triethylenetetramine (TETA) were used as crosslinkers to improve the mechanical properties of PVDF–TFE–P and carbon black–filled PVDF–TFE–P. Bisphenol was incorporated into the polymer by the manufacturer and crosslinking was achieved through additions of MgO and CaO followed by heating. Although bisphenol crosslinking improves the mechanical properties, further crosslinking was needed to obtain good extensibility under repeated deformation of carbon black/PVDF–TFE–P composites. By incorporating small amounts of 1,4‐diazabicyclo[2.2.2]octane and CaO, additions of TETA added more crosslinks in PVDF–TFE–P, leading to improved mechanical and electrical properties. The crosslinked polymer does not become brittle in typical solvents used in lithium battery electrolytes, so we believe that this highly extensible binder system may be useful for electrode materials that show large volume changes during charge–discharge cycling. © 2004 Wiley Periodicals, Inc. J Appl Polym Sci 91: 2949–2957, 2004

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 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)0.001
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 score0.008
Threshold uncertainty score0.525

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.011
GPT teacher head0.225
Teacher spread0.213 · 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 teacher head, 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

Citations14
Published2004
Admission routes1
Has abstractyes

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