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Record W2155273539 · doi:10.1002/ange.201411137

Nanoglas‐Verkapselung funktionaler organischer Verbindungen für optisch anisotrope Beschichtungen

2015· article· de· W2155273539 on OpenAlexafffund
Matthias Stöter, Bernhard Biersack, Sabine Rosenfeldt, Markus J. Leitl, Hussein Kalo, Rainer Schobert, Hartmut Yersin, Geoffrey A. Ozin, Stephan Förster, Josef Breu

Bibliographic record

VenueAngewandte Chemie · 2015
Typearticle
Languagede
FieldMaterials Science
TopicMesoporous Materials and Catalysis
Canadian institutionsUniversity of Toronto
FundersNatural Sciences and Engineering Research Council of CanadaDeutsche Forschungsgemeinschaft
KeywordsChemistryCrystallographyPhysics

Abstract

fetched live from OpenAlex

Abstract Funktionale Moleküle lassen sich mit einem neuen Verfahren zwischen zwei 1 nm dünnen Schichten verkapseln, die ähnlich wie Glas transparent und chemisch inert sind. Geordnete Wechsellagerungen von alternierenden organischen und osmotisch quellfähigen Na + ‐Zwischenschichten delaminieren spontan zu Doppelschichten bestehend aus zwei Silicatschichten, welche die organische Zwischenschicht einschließen. Die neue Technik ist geeignet, um hydrophobe, funktionale Moleküle zu maskieren und vollständig in Wasser dispergierbar zu machen. Die Doppelschichten besitzen durch die laterale Ausdehnung von 5000 nm und die Dicke von 4.5 nm ein Aspektverhältnis von >1000. Die Kombination aus strukturimmanenter Anisotropie der Silicatschichten und der aus dem begrenzten Raum zwischen den Schichten resultierenden Vorzugsorientierung eingelagerter Moleküle erlaubt es, Nanokompositfilme mit einer definierten Orientierung der eingekapselten Moleküle herzustellen, die sich in der Folge durch anisotrope optische Eigenschaften auszeichnen.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
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 score0.174
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0160.022

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 head0.031
GPT teacher head0.267
Teacher spread0.236 · 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; both teacher heads agree on what is shown here.

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

Citations4
Published2015
Admission routes2
Has abstractyes

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