Micro-fabrication and transfer of a detachable Ge epitaxial layer grown on porous germanium
Bibliographic record
Abstract
Germanium (Ge) substrates are usually used for epitaxial growth of III- V materials but represent a significant part of the cell total cost. The lift-off technique using porosification by bipolar chemical etching is a promising approach to detach the active layers from the Ge substrate and allows Ge substrate reuse. However, this solution raises challenges concerning the delamination and possible structural deterioration of the mem-brane during the micro-fabrication of the solar cell. In this paper, we successfully apply the main micro-fabrication steps on a Ge membrane grown on porous Ge. The front side process using UV lithography and Au-Ni deposition for contacts has been successfully performed without membrane degradation. Those contacted membranes were also successfully transferred on a host substrate. X rays measurements (XRD) were also performed before and after detachment and shows no damage on the crystalline quality of Ge membrane.
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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) | 0.002 | 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".