Correlation between Material Properties, Crystalline Transitions, and Point Defects in RF Sputtered (N,Mg)-Doped Copper Oxide Thin Films
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
In the present work, we investigate the effects of N and Mg doping on the optical and electrical properties of Cu 2 O thin films deposited using radiofrequency magnetron sputtering at room temperature. Additionally, crystalline phases are studied through complementary X-ray diffraction and energy dispersive X-ray spectroscopy measurements. It is shown that nitrogen incorporation enhances both the electrical and optical properties, with resistivity reaching a value as low as 1.15 Ωcm and an average transmittance in the visible range of 31.74%. Raman spectroscopy measurements indicate an increase in the number of (N 2 ) Cu shallow acceptor point defects, explaining the probed enhancement of p-type majority charge carriers. Also, in Mg-doped samples, marginal improvement of the optoelectrical properties is established. Conversely, we demonstrate that co-doping with Mg and N degrades the material crystallinity, leading to a reduction of thin film conductivity that could be attributed to high nitrogen incorporation. Subsequently, the influence of dopants on the electrical and optical properties is discussed via the analysis of the correlation between defects and Raman activities in the studied copper oxide thin films. This work contributes to the assessment of Mg and N as doping species, unveiling the dominant behavior of specific point defects. The results obtained in the study can therefore benefit future developments in copper-based p-type semiconducting oxides with enhanced optical and electrical properties.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 it