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Record W4402568351 · doi:10.1002/cctc.202401293

Hybrid Nanoparticles: Ni and Au Decorated with [FeFe]‐Hydrogenase Mimics

2024· article· en· W4402568351 on OpenAlexfundno aff
Sergio Aguado, Diego J. Vicent, Albert Granados, Laura Mallón, Adelina Vallribera, Miguel Á. Sierra

Bibliographic record

VenueChemCatChem · 2024
Typearticle
Languageen
FieldEnergy
TopicMetalloenzymes and iron-sulfur proteins
Canadian institutionsnot available
FundersAgencia Estatal de InvestigaciónCanadian Geriatrics SocietyGeneralitat de CatalunyaDepartament d'Universitats, Recerca i Societat de la InformacióMinnesota Academy of ScienceFundación Ramón Areces
KeywordsHydrogenaseNanoparticleChemistryNanotechnologyMaterials scienceCatalysisOrganic chemistry

Abstract

fetched live from OpenAlex

Abstract Complexes [(μ‐S₂C₂H₄NHR)Fe₂(CO)₆] (R = p ‐C₆H₄‐OCO(CH₂)₉Br ( 3a ); R = p ‐C₆H₄‐OCO(CH₂)₈CH₃ ( 3b )) were used as stabilizing agents in the synthesis of Ni@3 and Au@3 nanoparticles (NPs), which are the first reported stable metallic NPs decorated with [(μ‐S₂C₂H₄NHR)Fe₂(CO)₆] moieties. Electrochemical analysis reveals that incorporating the hydrogenase mimic into the NPs lowers the overpotential and enhances proton reduction electrocatalytic activity in organic media. The NPs act similarly to the [Fe₄S₄] cluster in natural enzymes, functioning as an electron reservoir/relay.

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)0.000
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 score0.050
Threshold uncertainty score0.831

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 head0.012
GPT teacher head0.214
Teacher spread0.202 · 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 teacher head, 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

Citations1
Published2024
Admission routes1
Has abstractyes

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