Mechanisms of Pulsed Laser-Induced Dewetting of Thin Platinum Films on Tantalum Substrates—A Quantitative Study
Bibliographic record
Abstract
The mechanism of pulsed laser-induced dewetting (PLiD) of Pt thin films in the thickness range from 3.2 to 8.9 nm was investigated on smooth chemically polished Ta (PT) and patterned dimpled Ta (DT) substrates, both of which have a thin Ta 2 O 5 layer on the surface. Complete dewetting was achieved for a film thickness of 3.2–4.6 nm. Beyond that, a distinct morphological evolution in the intermediate stages from bicontinuous to polygonal structures was observed with the change in thin-film thickness, enabling the determination of the transition thickness for Pt on Ta 2 O 5 /DT substrates to be between 5.9 and 7.7 nm. Furthermore, by examining the dependence of Pt nanoparticle (NP) size ( D ), nearest neighbor interparticle distance ( L ), and NP surface density ( N ) on the Pt film thickness ( h ), quantitative evidence was provided to demonstrate that PLiD of Pt thin films on Ta 2 O 5 /Ta substrates occurred via the spinodal dewetting mechanism. In particular, a power-law fit to the data obtained from Pt NPs on the Ta 2 O 5 /PT substrate showed that L has a quadratic dependence on h, that is, L = 5.13 h 2.04 . Also, the thickness dependence of D and N on Ta 2 O 5 /PT showed a power-law relationship of D = 3.74 h 1.76 and N = 2.93 × 10 12 h -4.03, respectively. These results are in excellent agreement with predictions from the spinodal dewetting theory. It has also been shown that the patterned DT surface underneath the Pt films exerted extra control on the NP morphology, causing a deviation from the power law as predicted by the spinodal dewetting mechanism. From the thickness dependence of L, D, and N, the Hamaker constant ( A ) of Pt, the proportional constant ( a ) correlating the characteristic spinodal length scale (Λ) and L, and the geometric factor ( f (θ)) were determined.
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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 | 0.001 |
| 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 | 0.001 |
| 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".