Achieving metallurgical bonding in ZnO/CuO p-n junction via nanosecond laser irradiation
Bibliographic record
Abstract
Robust p-n heterojunctions between wide and narrow bandgap semiconductors are essential for enhancing carrier transport and improving device efficiency. However, achieving uniform metallurgical bonding and an integrated interface remains challenging due to lattice mismatches. This study demonstrates that optimized nanosecond laser irradiation successfully forms a void-free interface in CuO nanowires and ZnO film. Nano-diffraction patterns confirm the coexistence of ZnO and CuO phases at the interface, indicating robust metallurgical bonding and significant interdiffusion. Additionally, laser-induced oxygen vacancies enhance carrier density and electron migration, improving charge transport and reducing recombination rates. These improvements yield an ideality factor of ∼1.2 for the p-n junction. The optimized ZnO/CuO photodetector demonstrates a maximum photocurrent of 1.6 μA, a responsivity of 0.1 mA/W, and a detectivity of 3.95 × 10⁶ Jones, representing an 8-fold improvement compared to the unprocessed sample. This study highlights the transformative potential of laser nanojoining in advancing high-performance optoelectronic devices.
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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".