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Record W2031965503 · doi:10.1115/1.4002747

Nanofiber Plasmon Enhancement of Two-Photon Polymerization Induced by Femtosecond Laser

2010· article· en· W2031965503 on OpenAlex

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

VenueJournal of Nanotechnology in Engineering and Medicine · 2010
Typearticle
Languageen
FieldEngineering
TopicNonlinear Optical Materials Studies
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsFemtosecondMaterials scienceNanofiberLaserPlasmonPolymerizationAbsorption (acoustics)OptoelectronicsOpticsPolymerNanotechnologyComposite materialPhysics

Abstract

fetched live from OpenAlex

The nanofiber plasmon effect on the two-photon polymerization (2PP) induced by a femtosecond laser is reported for the first time in this paper. The nanofibers were generated using a femtosecond laser, which was also used to construct microfeatures through two-photon polymerization of a nanofiber dispersed polymer resin. Nanofiber plasmon resonant effect greatly enhances local field intensities, resulting in increased particle scattering cross sections. This leads to a drastic enhancement of two-photon-like absorption processes, allowing much lower incident radiation intensities to be used. The huge enhancements in local field intensity due to nanofiber plasmon resonances have been shown to lower the required intensity for 2PP by factors of 10 or more.

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 score0.002
Threshold uncertainty score0.416

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 head0.005
GPT teacher head0.224
Teacher spread0.219 · 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