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Поглощение электромагнитного излучения аморфным углеродом, модифицированным металлами

2020· article· en· W3098318882 on OpenAlex
С.Г. Ястребов, И.Е. Истомин, Mahi R. Singh

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

VenueПисьма в журнал технической физики · 2020
Typearticle
Languageen
FieldMaterials Science
TopicMaterial Properties and Applications
Canadian institutionsWestern University
Fundersnot available
KeywordsDiscrete dipole approximationScatteringElectromagnetic radiationAbsorption (acoustics)Carbon nanotubeDipoleMaterials scienceAmorphous solidComputational physicsAnisotropyRadiationPhysicsOpticsCondensed matter physicsMolecular physicsNanotechnologyChemistryQuantum mechanicsCrystallography

Abstract

fetched live from OpenAlex

This article presents a theoretical study of the scattering and absorption of an electromagnetic wave from the gigahertz to the red range for a model of amorphous carbon modified by metals. On the basis of structural studies of this material, a cylindrical anisotropic nanoparticle - a nanotube responsible for its absorbing and antireflection properties - was selected as a candidate. A model of such a particle was developed and the scattering and absorption cross sections of an electromagnetic wave were calculated within the framework of the theory of the discrete dipole approximation. A pair of nanotubes allowed us to explain the contribution of the interaction of immediate neighbors to scattering and absorption. The constructed model explains the effect of absorption of radio-frequency electromagnetic radiation, observed experimentally in amorphous carbon modified with metals.

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.573
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0170.013

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 head0.038
GPT teacher head0.236
Teacher spread0.197 · 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