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Record W2080264184 · doi:10.1002/pssb.200301586

Radial and tangential vibrational modes of HiPCO‐derived carbon nanotubes under pressure

2003· article· en· W2080264184 on OpenAlexaff
U. D. Venkateswaran, M.‐É. Gosselin, B. Postek, David L. Masica, Gong Chen, Rajeev Gupta, P. C. Eklund

Bibliographic record

Venuephysica status solidi (b) · 2003
Typearticle
Languageen
FieldMaterials Science
TopicCarbon Nanotubes in Composites
Canadian institutionsUniversité de Sherbrooke
FundersDivision of Materials ResearchPennsylvania State UniversityRice UniversityUniversity of PennsylvaniaAmerican Chemical Society Petroleum Research FundNational Science Foundation
KeywordsMaterials scienceRaman spectroscopyCarbon nanotubePhononInverseMetalFacetingCondensed matter physicsMolecular physicsDerivative (finance)Composite materialOpticsChemistryPhysicsGeometry

Abstract

fetched live from OpenAlex

Abstract We investigate the differences in the pressure dependence of the Raman‐active phonons in carbon nanotubes of different diameter and conducting nature. The pressure dependence of the tangential bands of the metallic tubes is found to be about the same as that of the semiconducting tubes. However, for the radial bands, the larger diameter semiconducting tubes are seen to exhibit a larger pressure coefficient than smaller diameter metallic tubes. We assign this behavior to the diameter dependence and not the conductivity of the tubes. We find a strong inverse diameter dependence for the normalized pressure derivative of the radial band frequency ( ω R ) in contrast to the recent predictions for isolated tubes. This suggests that faceting of the tubes in the bundles may be the dominant contribution to the pressure dependence of ω R .

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)0.000
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 score0.016
Threshold uncertainty score0.831

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 head0.013
GPT teacher head0.240
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.

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

Citations12
Published2003
Admission routes1
Has abstractyes

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