MétaCan
Menu
Back to cohort
Record W4403868494 · doi:10.1021/acs.jpclett.4c02798

Resistance of a PdAu<sub>12</sub>(8e) Core to Growth in Collision-Induced Sequential Reductive Elimination of (C≡CR)<sub>2</sub> from [PdAu<sub>24</sub>(C≡CR)<sub>18</sub>]<sup>2–</sup>

2024· article· en· W4403868494 on OpenAlexafffund
Shun Ito, K. Hirano, Kiichirou Koyasu, Xian‐Kai Wan, Quan‐Ming Wang, Tatsuya Tsukuda

Bibliographic record

VenueThe Journal of Physical Chemistry Letters · 2024
Typearticle
Languageen
FieldMaterials Science
TopicNanocluster Synthesis and Applications
Canadian institutionsQueen's University
FundersJapan Society for the Promotion of ScienceCore Research for Evolutional Science and TechnologyGovernment of Canada
KeywordsCore (optical fiber)Materials scienceChemistryComposite material

Abstract

fetched live from OpenAlex

Previous studies have reported that [PdAu 24 (PA F ) 18 ] 2– (PA F = 3,5-(CF 3 ) 2 C 6 H 3 C≡C) with an icosahedral superatomic PdAu 12 (8e) core underwent collision-induced sequential reductive elimination (CISRE) of 1,3-diyne (PA F ) 2 ( J. Phys. Chem. C 2020, 124, 19119). The most likely scenario after the CISRE of (PA F ) 2 is the growth of the PdAu 12 (8e) core via the fusion of the Au(0) atoms produced from the Au 2 (PA F ) 3 units on the core surface. Contrary to expectation, anion photoelectron spectroscopy and theoretical calculations regarding the CISRE products [PdAu 24 (PA F ) 18–2 n ] 2– ( n = 1–6) revealed that the electronically closed PdAu 12 (8e) core does not grow to a single superatom with (8 + 2 n )e but assembles with Au 2 (2e) units. Characterization of the CISRE products of other alkynyl-protected Au clusters suggested that even the non-superatomic Au 17 (8e) core was resistant to growth due probably to rigidification by PA ligands. We propose that there is a kinetic bottleneck in the growth process of protected Au clusters at the stage where they are electronically closed and/or lose their structural fluxionality by ligation.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
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 score0.005
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
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 head0.018
GPT teacher head0.251
Teacher spread0.232 · 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.

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

Citations8
Published2024
Admission routes2
Has abstractyes

Explore more

Same venueThe Journal of Physical Chemistry LettersSame topicNanocluster Synthesis and ApplicationsFrench-language works237,207