Formation of mesoporous gallium arsenide for lift-off processes by electrochemical etching
Bibliographic record
Abstract
Monocrystalline, mesoporous GaAs double layers with controlled porosities are formed by means of electrochemical etching on p-type GaAs substrates using highly concentrated HF-based electrolytes. Variations in the electrolyte concentration and etching current density lead to changes in the porosity, morphology, thickness and etching rate of the porous layers. The porous layer is composed of micro and mesopores with a diameter in the range of 1 nm to 38 nm and a mean value of less than 10 nm. The etching rate of the porous layer lies in a range of 1.7 nm/sec to 1725 nm/sec. Hundred nm sizedoriented pyramids form at the interface between porous layer and substrate if etching current densities below 7.5 mA/cm2are applied. Mesoporous layers with thicknesses of up to 7 ¿m form reproducibly. Porous layers thicker than 7 ¿m automatically lift-off from the substrate. We demonstrate the spatially homogenous formation of mesopores on GaAs wafers with 4" in diameter. The etching rates and thicknesses values achieved indicate that etching of GaAs mesopores may be applicable to the industrial production of space solar cells.
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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".