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Record W4413752738 · doi:10.1139/cjp-2025-0088

Development of nano-sized graphene flowers as neutron reflectors-intensify neutron beam caused by coherent scattering-

2025· article· en· W4413752738 on OpenAlex
Makoto Teshigawara, Yujiro Ikeda, Kazuo Muramatsu, Koichi Sutani, Koichi Kimijima, Masafumi Fukuzumi, Yohei Noda, Satoshi Koizumi, Yuji Kawamura, Koichi Saruta, Yoshié Otake

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.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueCanadian Journal of Physics · 2025
Typearticle
Languageen
FieldMaterials Science
TopicGraphite, nuclear technology, radiation studies
Canadian institutionsnot available
Fundersnot available
KeywordsPhysicsGrapheneNeutronNeutron scatteringNeutron radiationSmall-angle neutron scatteringNano-ScatteringBeam (structure)OpticsNuclear physicsQuantum mechanics

Abstract

fetched live from OpenAlex

The nano-sized graphene with a petal- and seed-like structure may induce neutron coherent scattering. We have studied a possible effect according to which the increase of the number of graphene seed-like structures produces an enhancement of the coherent scattering. To evaluate this, we focused on Raman spectra that characterize the stacking structure, crystal irregularities, and defects promoted by graphene growth. By focusing on this information, we tried to find parameters related to the nano-sized structure of graphene, and explored whether they can be related to the coherent scattering. As a result, it is suggested that the increase of the G/D ratio and the decrease of the G/2D ratio in the Raman spectra correlate strongly with the increase of the coherent scattering.

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 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 score0.053
Threshold uncertainty score0.820

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 head0.014
GPT teacher head0.248
Teacher spread0.234 · 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