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Record W2018104183 · doi:10.1021/cm060961y

Carbon/MoO<sub>2</sub> Composite Based on Porous Semi-Graphitized Nanorod Assemblies from In Situ Reaction of Tri-Block Polymers

2007· article· en· W2018104183 on OpenAlexaff
Xiulei Ji, P. Subramanya Herle, Young-Ho Rho, Linda F. Nazar

Bibliographic record

VenueChemistry of Materials · 2007
Typearticle
Languageen
FieldMaterials Science
TopicSupercapacitor Materials and Fabrication
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsMaterials scienceCarbonizationMesoporous materialCarbon fibersChemical engineeringOxideComposite numberNanocompositeCatalysisInorganic chemistryNanotechnologyComposite materialOrganic chemistryChemistryScanning electron microscope

Abstract

fetched live from OpenAlex

Ordered mesoporous carbon materials with a semi-graphitized structure have been synthesized by directly employing a tri-block copolymer as a structure directing agent and carbon source to form mesoporous carbon. Poly(ethylene oxide) 20 -poly(propylene oxide) 70 -poly(ethylene oxide) 20 (EO 20 PPO 70 EO 20 ), or “P123”, was cross-linked in the channels of mesoporous silicate, carbonized, and graphitized. Extraction of the silica produces a mesoporous graphitic carbon replica. The graphitization of carbon was realized by employing transition metals (Fe, Co, Ni) as a catalyst in a reducing atmosphere. Of the three transition metal catalysts, nickel was found to be the best candidate in terms of preserving structural order. All three nanoporous carbon materials have 3 orders higher conductivity and better thermal stability than non-graphitic carbon. A composite of ordered mesostructured carbon/metallic MoO 2 (63.7 wt % MoO 2 ) was prepared and examined as a negative electrode in a lithium rechargeable battery. The material exhibited a reversible capacity of 760 mA·h/g in the voltage window 3.0−0.0 V.

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 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 score0.008
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.010
GPT teacher head0.219
Teacher spread0.210 · 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

Citations104
Published2007
Admission routes1
Has abstractyes

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