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Record W2303289732 · doi:10.14288/1.0166042

A muSR study of the interactions between muoniated radicals and metallic nanoparticles in mesoporous silica hosts

2014· article· en· W2303289732 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

VenuecIRcle (University of British Columbia) · 2014
Typearticle
Languageen
FieldEnvironmental Science
TopicChemical Synthesis and Characterization
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsMesoporous materialMesoporous silicaNanoparticleRadicalMetalNanotechnologyMaterials scienceChemical engineeringChemistryMetallurgyOrganic chemistryCatalysis

Abstract

fetched live from OpenAlex

Transverse field (TF-muSR) and Avoided level crossing resonance (ALCR) techniques have been used in this very first investigation on the structure and dynamics of the Mu-cyclohexadienyl (MuC₆H₆) radical interacting with Au and Pt metal nanoparticles supported in mesoporous silica (SBA-15), providing novel information about the interactions of radicals with silica environments. Two different loadings of benzene were investigated by the TF-μSR and its companion Fast Fourier Transform (FFT) technique, revealing that the observed radicals are shielded from the metallic nanoparticle surfaces probably by a layer of benzene coating. At lower loading, the adsorption of benzene on nanoparticles increases the opportunity of an encounter between the muonium and benzene near the NP surface. The ALCR Δ₁ resonance arising from hyperfine anisotropy is observable in MNP-loaded samples up to 418 K but not in the unloaded SBA-15, while towards lower temperature it is the Δ₀ resonance mainly from isotropic hyperfine interactions that is observed in the small gold nanoparticle loaded SBA-15 sample. Such an difference is attributed to the stronger binding of MuC₆H₆ to the benzene coated MNPs than silica nanopore surfaces, so it is less perturbed by the surrounding atoms. Different dynamic behaviors have been seen in MCM-41 silica host compared to SBA-15, which is thought due to the agglomeration of benzene in the smaller pore sizes. In fact, the dynamics in this case are more like that seen for small Au NP-loaded SBA-15, giving an environment closer to that of liquid benzene due to this agglomeration. Disappointingly, the isotropic hyperfine coupling constants, determined from the positions of the Δ₀ and Δ₁ resonances, are almost the same in the MNP-loaded and unloaded samples, implying that the electronic structure of MuC₆H₆ is only weakly perturbed by the presence of the MNPs from an indirect interaction between MuC₆H₆ and the MNP. The only information on a direct interaction comes from the temperature-dependent longitudinal field T₁ relaxation rates at a monolayer benzene loading, giving also a clear direction for relevant future studies.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.247
Threshold uncertainty score0.950

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 head0.006
GPT teacher head0.168
Teacher spread0.162 · 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