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Record W2099250043 · doi:10.1021/ja020542b

A New Approach to Hybrid Nanocomposite Materials with Periodic Structures

2002· article· en· W2099250043 on OpenAlexaff
Ji‐Guang Zhang, Neil Coombs, Eugenia Kumacheva

Bibliographic record

VenueJournal of the American Chemical Society · 2002
Typearticle
Languageen
FieldPhysics and Astronomy
TopicPhotonic Crystals and Applications
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsNanocompositePolymerHybrid materialNanocrystalChemistryAnnealing (glass)IonChemical engineeringNanotechnologyPhotonicsSemiconductorMicrosphereLayer (electronics)Metal ions in aqueous solutionOptoelectronicsComposite materialMaterials scienceOrganic chemistry

Abstract

fetched live from OpenAlex

Hybrid core-shell polymer-semiconductor or polymer-metal microspheres were used in the "bottom-top" approach to production of nanocomposite materials with periodic structures. In the first step CdS and Ag nanocrystals were synthesized in situ on the surface of polymer microspheres using ion exchange between the counter ions in the electrical double layer of latex beads and ions in the liquid medium. In the second step a low-Tg polymeric shell was synthesized on the surface of hybrid particles, which upon annealing of the periodic array of three-layer microbeads formed a matrix. The proposed strategy employing hybrid microspheres as the functional structural blocks shows a new way to produce optically responsive materials with periodicity commensurable with the wavelength of light, an intrinsic property of photonic crystals.

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 score0.003

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 integrity0.0000.000
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 head0.008
GPT teacher head0.226
Teacher spread0.217 · 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

Citations77
Published2002
Admission routes1
Has abstractyes

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