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Record W3084834680 · doi:10.1039/d0na00609b

Enhancing the brightness and saturation of noniridescent structural colors by optimizing the grain size

2020· article· en· W3084834680 on OpenAlexaff
Ning Sun, Yan Liu, Rui Zhao, Zhengzheng Xu, Shuangxin Li, Jianshe Lian, Qing Jiang, Guoyong Wang

Bibliographic record

VenueNanoscale Advances · 2020
Typearticle
Languageen
FieldPhysics and Astronomy
TopicPhotonic Crystals and Applications
Canadian institutionsBell Helicopter Textron (Canada)
FundersProgram for Jilin University Science and Technology Innovative Research TeamJilin Scientific and Technological Development ProgramInternational Science and Technology Cooperation ProgrammeNational Key Research and Development Program of ChinaNanjing University of Aeronautics and AstronauticsNanjing UniversityPeople's Government of Jilin Province
KeywordsBrightnessSaturation (graph theory)Structural colorationGrain sizeMaterials sciencePhotonic crystalOpticsOptoelectronicsPhysicsMathematicsComposite material

Abstract

fetched live from OpenAlex

A non-iridescent structural color with high brightness and saturation is obtained by adjusting the domain size of the ordered structure of the photonic crystal.

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 score0.036
Threshold uncertainty score0.173

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 head0.233
Teacher spread0.228 · 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

Citations15
Published2020
Admission routes1
Has abstractyes

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