Adsorbate−Induced Diffusion of Ag and Au Atoms Out of the Cores of Ag@Au, Au@Ag, and Ag@AgI Core−Shell Nanoparticles
Bibliographic record
Abstract
Au@Ag and Ag@Au core−shell nanoparticles were synthesized using sequential laser ablation of metal targets in water. The resulting core−shell particles were then exposed to iodine or 1,6−hexanedithiol. For the Ag@Au + I 2 → Au@AgI and Au@Ag + dithiol → Ag@Au−dithiol reactions, inversion of the core−shell structures resulted. These findings demonstrate that adsorbates can influence the core atoms through an intervening shell, and it is possible to use core−shell systems as vehicles for delivering reactivity on demand. Changing the shell material affords an opportunity to vary core susceptibility. Au@AgI nanoparticles, for example, did not react with 1,6−hexanedithiol. These results are most consistent with a charge−transfer-induced diffusion mechanism, analogous to the Cabrera−Mott model used for oxidation reactions of surfaces. The rate of uptake of iodine by Ag nanoparticles, measured with a quartz crystal microbalance, displayed kinetics that could be modeled using the same charge−transfer model.
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 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".