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Record W2314838919 · doi:10.7209/tanso.2002.7

KOH Activation Method of a Mesophase Pitch-based Carbon Fiber

2002· article· en· W2314838919 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

VenueTANSO · 2002
Typearticle
Languageen
FieldChemistry
TopicAerogels and thermal insulation
Canadian institutionsPetro-Canada
Fundersnot available
KeywordsMesophaseMaterials scienceActivated carbonAdsorptionSpecific surface areaComposite materialFiberChemical engineeringChemistryOrganic chemistryCatalysisLiquid crystal

Abstract

fetched live from OpenAlex

At present, activated carbon fiber (ACF) generally consists of materials such as cellulose, acrylic phenol and so on. Activated carbon fiber is usually made by gas activation by CO2, and steam. Mesophase pitch-based carbon fiber (MPCF) has been developed to achieve higher strength and elasticity. Due to the difficulty of activating the MPCF using conventional methods, it has not been used as a starting material for ACFs. In spite of having such difficulties, the development of new activation method can lead us to a new ACF having pore structure and adsorption property different from conventional materials.In this paper, we present the study on the relation between the newly developed KOH activation method and the specific surface area of the activated MPCFs by changing the activating conditions. Using our method, we could suc-cessfully control the specific surface area of the MPCF-based ACFs. This activation method proved to be promising for the development of the ACFs with novel characteristics.

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 categoriesInsufficient payload (model declined to judge)
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 score0.080
Threshold uncertainty score0.996

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)0.0050.000

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 head0.028
GPT teacher head0.269
Teacher spread0.241 · 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