(Invited) Cessation of Porous Layer Growth in n-InP Anodised in KOH
Bibliographic record
Abstract
Anodisation of n-InP in KOH results in the formation of porous layers with a finite thickness. We propose the reason for the cessation of porous etching is the formation of insoluble precipitates within the pores. Electron micrographs of mature porous layers show significant precipitates within the porous structure. An in-situ microscopy study of the surface of InP electrode during anodisation reveals the formation of a layer on the surface. This layer emerges from a point on the surface and quickly spreads across it. A likely source of this layer is the spreading of precipitation from the etch-products saturated solution within the porous layer. However, as we explain, once a complete porous layer has formed, there should be no significant increase in mass transport requirements through the porous network, leaving the exact mechanism of the precipitation unclear.
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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".