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Record W2969620243 · doi:10.1615/rad-19.190

INVESTIGATING NON-INCANDESCENCE EMISSION DURING LASER INDUCED INCANDESCENCE EXPERIMENTS ON AEROSOLIZED PLASMONIC NANOPARTICLES

2019· article· en· W2969620243 on OpenAlexaff
S. Talebi-Moghaddam, S. Robinson-Enebeli, Timothy A. Sipkens, Anna Klinkova, Kyle J. Daun

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicLaser-induced spectroscopy and plasma
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsIncandescenceBremsstrahlungMaterials scienceNanoparticleLaserElectronAerosolizationSIGNAL (programming language)OpticsOptoelectronicsSootAtomic physicsChemistryNanotechnologyPhysicsCombustionNuclear physics

Abstract

fetched live from OpenAlex

Time-resolved laser-induced incandescence (TiRe-LII) experiments conducted on aerosolized Ag, commercial soot and Au nanoparticles energized with a 1064 nm laser pulse. Detected TiRe-LII signal from aerosolized Ag nanoparticles suggest that the observed signal could originate from electron neutral bremsstrahlung and not of incandescence origin. A new model is proposed based on plasmonically-enhanced photoemission of electrons from Ag nanoparticles. The interaction of the electrons with buffer gas neutral species leads to inverse neutral bremsstrahlung absorption of the laser pulse as well as neutral bremsstrahlung emission. The new model could potentially explain some of the anomalies observed during TiRe-LII experiments as a secondary signal contaminating the original incandescence signal.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.005

Distilled classifier scores by category (both heads)

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 integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.237
Teacher spread0.223 · 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 source (direct Gemma or distilled Codex), 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

Citations1
Published2019
Admission routes1
Has abstractyes

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