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Record W1991585477 · doi:10.1021/jp101764q

Silver Nanoclusters: Single-Stage Scaleable Synthesis of Monodisperse Species and Their Chirooptical Properties

2010· article· en· W1991585477 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

VenueThe Journal of Physical Chemistry C · 2010
Typearticle
Languageen
FieldMaterials Science
TopicNanocluster Synthesis and Applications
Canadian institutionsWilfrid Laurier University
Fundersnot available
KeywordsNanoclustersDispersityCircular dichroismMaterials sciencePolymerChirality (physics)Aqueous solutionChemical engineeringChemical stabilityNanotechnologyChemistryPhysical chemistryCrystallographyPolymer chemistryChiral symmetry

Abstract

fetched live from OpenAlex

Silver nanoclusters (AgNCs) with well-resolved electronic transitions in UV−vis spectra and chirooptical signatures have been synthesized via a versatile single-stage preparation utilizing stabilization with chiral thiols in aqueous solution. The most successful strategy proved to be the use of a combination of chiral ligands. No purification or size separation of synthesized AgNCs was required. AgNCs have been confirmed to be a single species and displayed significant stability in ambient conditions. Further improvement in AgNC stability has been achieved through their encapsulation in polymer films. Chemical properties of the prepared AgNCs were explored. Chirooptical properties of AgNCs have been studied in detail by circular dichroism (CD) spectroscopy, including nanocluster systems synthesized using different combinations of chiral ligands, where the tunability of chirality is demonstrated. Improved stability of AgNCs offers a good potential for future applications, for example, in optical sensors.

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 score0.292

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 studies0.0000.001
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 head0.017
GPT teacher head0.209
Teacher spread0.192 · 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