Mesoporous Germanium Formation by Electrochemical Etching
Bibliographic record
Abstract
Uniform thick mesoporous germanium layers are reproducibly formed on 4 in.p-type Ge wafers by electrochemical etching in highly concentrated HF electrolytes.Pore formation by anodic etching in germanium leads to a constant dissolution of the porous layer.The growth rate of the porous Ge layer is therefore given by the difference between the etch rate at the porous layer/substrate wafer interface and the dissolution rate at the electrolyte/porous layer interface.The growth rate lies in the range of 0.071-2.7 nm/min for etching current densities of 0.1-80 mA/cm 2 , while both the etch rate and the dissolution rate lie in the range of several micrometers per minute.We define the substrate usage as the ratio of the growth rate and the etch rate.This substrate usage determines the growth efficiency of the porous layer and lies in the range of 0.2-2%.Thus, the substrate wafer is thinned substantially during anodic porous layer formation.Constantly alternating from an anodic to a cathodic bias prevents the thinning of the substrate.The dissolution rate decreases, and the usage increases up to 98%.
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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 | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".