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Record W4416674399 · doi:10.1021/acsnano.5c12607

The Resonance Structure of Raman Scattering for Emitted and Absorbed Phonons in Chirality-Pure Carbon Nanotube Films

2025· article· en· W4416674399 on OpenAlexafffund
Paul Finnie, Adam Wind, Jianying Ouyang, Pavel Shapturenka, Jeffrey Fagan

Bibliographic record

VenueACS Nano · 2025
Typearticle
Languageen
FieldMaterials Science
TopicCarbon Nanotubes in Composites
Canadian institutionsUniversity of WaterlooNational Research Council Canada
FundersNational Research Council CanadaNational Institute of Standards and Technology
KeywordsPhononRaman scatteringRaman spectroscopyExcitationResonance (particle physics)Carbon nanotubeCoherent anti-Stokes Raman spectroscopyPhoton

Abstract

fetched live from OpenAlex

Chirality-pure single-wall carbon nanotubes (SWCNTs) are ideal samples for resonant Raman scattering (RS) as they have sharp optical transitions and are strong Raman scatterers, having diameter and chirality specific resonances in the visible and in the near-infrared. Recently, it has become possible to rapidly obtain broadband maps of many vibrational modes of SWCNTs and their excitation resonances. Here, we use a full spectrum Raman excitation mapping technique to obtain experimental Raman excitation maps for several species of SWCNT [(7,6), (7,5), and (6,5)] purified by two different methods, mapping both phonon emission (Stokes) RS and phonon absorption (anti-Stokes) RS. These experimental maps show intricate patterns which match well with some of the predictions of quantum models of RS, and strong signals enhanced ≈3000× over graphite G bands near incident photon resonance. All RS bands necessarily have different excitation structure, but Stokes and anti-Stokes pairs are closely symmetrical, yielding an overall butterfly shaped pattern interpretable in terms of excitonic resonances with incident photons and scattered photons. Temperature provides the phonon population for anti-Stokes RS and is critical to interpreting relative feature intensity compared to Stokes RS. SWCNTs are robust and strong RS, both Stokes and anti-Stokes and their ratio, can be obtained over orders of magnitude in laser power, which we show is a critical variable affecting relative response based on sample preparation factors.

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 score0.008
Threshold uncertainty score0.521

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 head0.006
GPT teacher head0.250
Teacher spread0.243 · 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

Citations0
Published2025
Admission routes2
Has abstractyes

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