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Record W4320717073 · doi:10.1016/j.rio.2023.100389

Theoretical study of the reaction–diffusion model of a three-component photopolymerizable system taking into account the shrinking effect

2023· article· en· W4320717073 on OpenAlex
S.P. Bielykh, Tigran Galstian, Victor Reshetnyak

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

VenueResults in Optics · 2023
Typearticle
Languageen
FieldChemistry
TopicPhotopolymerization techniques and applications
Canadian institutionsGenia Photonics (Canada)
Fundersnot available
KeywordsComponent (thermodynamics)DiffusionMaterials scienceStatistical physicsThermodynamicsPhysics

Abstract

fetched live from OpenAlex

We present a further development of theoretical modeling of photo-induced lens formation in polymerizable matrix containing quantum dots (QDs), to take into account also the shrinkage effect by advancing the model of void formation. The intensity dependence of the photopolymerization rate is considered along with the induced diffusion of monomers and QDs, as well as the change of the concentration of voids. The monomer, polymer, and QDs concentrations as well as the effective refractive index of the resulting composite material are calculated subject to the formation of voids in the cell. The challenges, related to this approach, are outlined, and the focal power of the photoinduced lens is calculated.

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)0.001
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 score0.416
Threshold uncertainty score0.348

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.017
GPT teacher head0.272
Teacher spread0.255 · 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