Ultrahigh-Quality Ge-on-Glass with a 3.7% Uniaxial Tensile Strain
Bibliographic record
Abstract
High Resolution Image Download MS PowerPoint Slide While there have been notable advancements in the quality of epitaxial Ge on Si, the crystal quality of bulk Ge remains much superior, which provides an effective method to study the performance potentials of Ge-based semiconductor devices. This study showcases the development of ultrahigh-quality Ge/poly-Si/SiO 2 on glass with a Ge thickness reduced to ≤100 nm (10 μm width) through wafer bonding, thinning, and polishing processes. The minority lifetimes measured for the Ge thin films range between 200 and 1000 ns, surpassing those achieved with epi-Ge on Si by at least 20 to 100 times. The wafer bonding process introduces a desirable tensile strain of 0.1%, attributed to thermal expansion mismatch. A Ge microbridge structure was employed to amplify the tensile strain, reaching a maximum uniaxial tensile strain of 3.7%. The much longer minority carrier lifetime together with the strain-induced band gap engineering holds promise for improving light emission efficiency. This work establishes an economical and convenient method for producing high-quality tensile-strained Ge thin films, a pivotal step in exploring the potential of Ge in light emission applications.
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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) | 0.001 | 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) | 0.003 | 0.001 |
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".