MétaCan
Menu
Back to cohort
Record W3004217679 · doi:10.1063/1.5134470

Nanofibrous thin film with tuned optical properties induced by picosecond plasma ionization

2020· article· en· W3004217679 on OpenAlexafffund
Olivia Shurtleff, F. Gaspari, Amirkianoosh Kiani

Bibliographic record

VenueJournal of Applied Physics · 2020
Typearticle
Languageen
FieldMaterials Science
TopicDiamond and Carbon-based Materials Research
Canadian institutionsOntario Tech University
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsMaterials scienceSiliconPicosecondPlasmaNanofiberIonizationOxideSilicon oxideScanning electron microscopeOptoelectronicsLaserThin filmAnalytical Chemistry (journal)OpticsNanotechnologyChemistryIonComposite material

Abstract

fetched live from OpenAlex

The goal of this paper was to investigate the optical properties of the nanofibrous structures synthesized by plasma ionization at a various number of pulses manipulated by laser frequency and scanning speed. Through experimental analyses, it was determined that more nanofibers were generated at higher frequencies and slower scanning speeds. Also, it was found that generated nanofibers have hybrid structures of both silicon and silicon oxide due to being prepared under ambient conditions and rapid cooling process. Slower scanning speeds produced greater amounts of silicon oxide as the average surface temperature is above the oxidation threshold; however, increasing the pulse numbers via the laser frequency has a reverse effect as at higher frequency, the average surface temperature is lower. This was confirmed through both experimental and theoretical results obtained via computerized simulations.

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 score0.004
Threshold uncertainty score0.424

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 head0.021
GPT teacher head0.221
Teacher spread0.200 · 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

Citations1
Published2020
Admission routes2
Has abstractyes

Explore more

Same venueJournal of Applied PhysicsSame topicDiamond and Carbon-based Materials ResearchFrench-language works237,207