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Record W2097886601 · doi:10.1021/jp908165r

Transformations of Cold-Compressed Multiwalled Boron Nitride Nanotubes Probed by Infrared Spectroscopy

2010· article· en· W2097886601 on OpenAlexaff
Zhaohui Dong, Yang Song

Bibliographic record

VenueThe Journal of Physical Chemistry C · 2010
Typearticle
Languageen
FieldMaterials Science
TopicBoron and Carbon Nanomaterials Research
Canadian institutionsWestern University
Fundersnot available
KeywordsBoron nitrideMaterials scienceWurtzite crystal structureDiamondChemical engineeringNanotechnologyInfrared spectroscopyRaman spectroscopyBoronCarbon nanotubeHexagonal boron nitrideChemical physicsComposite materialChemistryGrapheneOrganic chemistryMetallurgy

Abstract

fetched live from OpenAlex

Multiwalled boron nitride nanotubes (BNNTs) were compressed at room temperature in diamond anvil cells up to 35 GPa, followed by decompression. For the first time, in situ infrared absorption spectroscopy was used to monitor BNNT structural transformations. These BNNTs were found to undergo pressure-induced transformations from a hexagonal to a more closely packed wurtzite structure at 11 GPa, which is similar to that exhibited by bulk hexagonal BN (h-BN). However, when BNNTs are compressed, they exhibit quantitative differences compared with bulk h-BN in terms of transformation completeness and reversibility. Our findings provide unambiguous evidence that sp 3 bondings that form in significantly different yields originated from different morphologies of the starting BN materials. The unique transformation mechanism proposed for BNNTs provides new information for developing BNNTs as potential advanced materials with more desirable properties than those of carbon nanotubes.

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 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 score0.001
Threshold uncertainty score0.474

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 science0.0010.000
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 head0.253
Teacher spread0.247 · 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

Citations41
Published2010
Admission routes1
Has abstractyes

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