Growth dynamics of pulsed laser deposited Pt nanoparticles on highly oriented pyrolitic graphite substrates
Bibliographic record
Abstract
Platinum nanoparticles were grown by pulsed laser deposition (PLD) on highly oriented pyrolitic graphite substrates and characterized by scanning tunneling microscopy. Unexpectedly, as the nominal Pt thickness $(t)$ is increased from $0.1\phantom{\rule{0.3em}{0ex}}\text{to}\phantom{\rule{0.3em}{0ex}}20\phantom{\rule{0.3em}{0ex}}\mathrm{nm}$, the mean diameter $({d}_{m})$ of the Pt nanoparticles follows the power law ${d}_{m}\ensuremath{\propto}{t}^{1∕Z}$ with a dynamic exponent $Z=4.7\ifmmode\pm\else\textpm\fi{}10\phantom{\rule{0.2em}{0ex}}%$. This growth law is found to be valid for incident kinetic energy $({K}_{E})$ of the ablated species involved in the growth process ranging from $4\phantom{\rule{0.3em}{0ex}}\text{to}\phantom{\rule{0.3em}{0ex}}130\phantom{\rule{0.3em}{0ex}}\mathrm{eV}∕\mathrm{at.}$ We also show that the shape of isolated Pt nanoparticles can be greatly influenced by ${K}_{E}$. Our results point out that PLD Pt nanoparticles nucleate and grow on the substrate rather than being formed in the ablation plume.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 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) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".