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Record W2261570306 · doi:10.1149/ma2014-04/2/391

New Benzimidazole Nitronyl Nitroxides As Electro-Active Compounds for Battery Electrodes

2014· article· en· W2261570306 on OpenAlexaff
Sevda Akay, Burak Esat, İsmail Fidan, Catherine Hirel, Natia L. Frank

Bibliographic record

VenueECS Meeting Abstracts · 2014
Typearticle
Languageen
FieldChemistry
TopicChemical Synthesis and Reactions
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsAnodeBattery (electricity)Organic radical batteryCathodeBenzimidazolePolymerMaterials scienceElectrodeMoleculeNanotechnologyChemistryCombinatorial chemistryOrganic chemistryPower (physics)ElectrochemistryComposite materialPhysicsPhysical chemistry

Abstract

fetched live from OpenAlex

Battery systems are energy sources in wide scope of applications such as mobile phones, portable computers, uninterruptible power supplies. Radical bearing organic polymers, also called radical polymers, may be used as cathode- or anode-active materials in batteries. TEMPO (2,2,6,6-Tetramethylpiperidin-1-yl-oxyl) bearing polymers have been synthesized and studied as electrode materials for rechargeable batteries 1 . In a similar way, benzimidazole nitronyl nitroxides (BNNs) which are nitroxide-containing organic molecules like TEMPO can also be utilized as electro-active materials. Our studies involving synthesis and utilization of these molecules as cathode or anode materials in Li-ion batteries will be presented. References 1. A Y. Liang , Z. Tao , J.Chen, Adv. Energy Mater. 2012 , 2 , 742–769.

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)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
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 score0.262
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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 head0.011
GPT teacher head0.238
Teacher spread0.227 · 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.

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

Citations1
Published2014
Admission routes1
Has abstractyes

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