The Nucleation and Growth Mechanism of Thiolate-Protected Au Nanoclusters
Why this work is in the frame
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Bibliographic record
Abstract
The understanding of the evolution mechanism of thiolate-protected Au nanoclusters from the homoleptic Au(I)-SR clusters to core-stacked ones is crucial for the synthesis of novel thiolated Au clusters. In this work, the global search for a series of "intermediate" Aum(SR)n clusters with m and n ranging from 5 to 12 was implemented by combining basin hopping algorithm, genetic algorithm, and density functional theory (DFT) calculations. Most of Aum(SR)n clusters possess the core-shell structure. Specifically, some typical topologies, such as tetrahedral Au4, triangular bipyramid Au5, octahedral Au6, and vertex-shared Au7, are found to be dominant within the inner core of various clusters. Along with the increase in the number of gold atoms and thiolates, the preliminary nucleation and growth processes of both inner-core and staple-motif protecting units are grouped into three kinds of size evolution routes, i.e., core growth, core dissolution, and staple-motif growth, respectively. Some metastable isomers may also play an important role in the evolution of clusters. The core structures in the lowest-lying isomers and some metastable isomers are similar to the intact or part of the cores found in experimentally detected species. Both the lowest-lying and metastable intermediate clusters may serve as the building block for the further growth. These results rationalize the preliminary nucleation in the "reduction growth" stage, shedding light on the size-evolution mechanism of RS-AuNPs.
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Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it