Bandgap Tuning of High Mobility Magnetron Sputtered Copper (I) Oxide Thin Films for Perovskite Solar Cell Applications
Bibliographic record
Abstract
We report on the successful growth optimization of an inorganic p-type copper oxide (Cu2O) thin films for various energy applications. First, Cu2O thin films of a typical thickness of 100 nm are deposited on fluorine-doped tin oxide (FTO) coated glass substrates by DC-reactive magnetron sputtering, followed by their in-depth characterization with different techniques, including scanning electron and atomic force microscopies, UV-Vis, X-ray diffraction and photoelectron spectroscopies, to probe their structural, optical, and morphological properties. Surface topology analysis revealed homogeneous, compact, and uniform sputtered deposited films. The as deposited films layers have shown a preferential crystal orientation of (111) and a stoichiometry of CuO, at the surface, which is believed to be mainly due to the oxidization effect of the non-capsulated surface, while a short-duration argon etching (~ 5 s) has revealed the growth of Cu2O films stoichiometry. Finally, during the reactive plasma deposition, films were grown under nitrogen gas flow to improve their hole-mobility, followed by a systematic annealing at various temperatures ranging from 100 to 250 °C to improve their crystalline structure. Hall effect measurement confirmed that the Cu2O thin film are p-type, with extremely high electronic properties, including an electrical conductivity of 2.6 × 102 S/cm, a hole mobility of about 30 cm2/Vs and a charge carrier density around 5 × 1019 cm-3, making them a serious candidate for a hole transport layer in perovskite 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".