Studying the kinetics of microstructure formation through dewetting of As-Se thin films
Bibliographic record
Abstract
The chalcogenide glasses have always drawn attention in photonics for being the most suitable materials for applications in the infrared region. Although their use in integrated photonics is promising, there are yet many challenges to integrating optical components in nano- and microscale. The dewetting of thin films is a mostly unexplored and attractive alternative to produce self-assembled structures in solid substrates. Chalcogenide glasses are among the few materials to present dewetting below 300 \ifmmode^\circ\else\textdegree\fi{}C. We report the thermal-induced dewetting of ${\mathrm{As}}_{x}{\mathrm{Se}}_{100\text{--}x}$ thin films, deposited by electron beam. The activation energy for dewetting is obtained by analyzing the kinetics of dewetting at different temperatures. This energy is greatly affected by the number of homopolar bonds and the glass dimensionality. As a consequence, the higher activation energy is found in the composition with fewer degrees of freedom $({\mathrm{As}}_{40}{\mathrm{Se}}_{60})$. The rupture mechanism and the size of the droplets are also greatly affected by the glass composition. This study provides an insight on how to control and use dewetting as an alternative route for nano- and microfabrication in photonics.
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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 | 0.000 | 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) | 0.000 | 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".