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Record W2173997438 · doi:10.1002/cphc.201500969

Solvent‐Switching Gelation and Orange–Red Emission of Ultrasmall Copper Nanoclusters

2015· article· en· W2173997438 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

VenueChemPhysChem · 2015
Typearticle
Languageen
FieldMaterials Science
TopicNanocluster Synthesis and Applications
Canadian institutionsUniversity of Alberta
FundersNational Natural Science Foundation of China
KeywordsNanoclustersX-ray photoelectron spectroscopyPhotochemistryFluorescenceCopperAbsorbanceFluorescence spectroscopySpectroscopySolventMaterials scienceChemistryAnalytical Chemistry (journal)NanotechnologyChemical engineeringOrganic chemistryOptics

Abstract

fetched live from OpenAlex

By tuning the Cu⋅⋅⋅Cu and hydrogen-bonding interactions, the small cluster Cu3 L can be selectively synthesized to develop a stable and highly fluorescent material, as confirmed by matrix-assisted laser desorption ionization-time of flight mass spectroscopy. Further characterizations, including absorbance spectroscopy, XPS, and XRD demonstrate the formation of tiny Cu nanoclusters (NCs). In water, the as-prepared Cu NCs can exhibit high orange fluorescence via solution evaporation to eliminate hydrogen-bonding, and in dimethylformamide, a strong orange fluorescent gel is obtained by solvent induction to enhance the Cu⋅⋅⋅Cu and hydrogen-bonding interactions. More importantly, the Cu NCs in their substantial form exhibit nonlinear optical properties upon two-photon excitation. These results will shed light on Cu and related cluster applications in two-photon biological imaging, optical power limiting, and solar energy conversion.

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 score0.003
Threshold uncertainty score0.389

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 head0.031
GPT teacher head0.256
Teacher spread0.225 · 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