Obtaining Cu<sub>2</sub>O nanoparticles doped with Lanthanum, Magnesium and Manganese using a displacement reaction
Bibliographic record
Abstract
Since cuprous oxide (Cu <inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</inf> O) has a lower band gap (2.17 eV) and a high optical absorption coefficient, it is considered an interesting material for photocatalyst applications. In fact, this semiconductor is promising as it can be used in photovoltaic and photocatalytic applications. Cuprous oxide nanoparticles were obtained by the modified chemical precipitation method. The samples obtained were doped with lanthanum (La), magnesium (Mg) and manganese (Mn) through modified displacement reactions. The doped and un-doped Cu <inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</inf> O nanoparticles were characterized using X-ray diffraction (XRD), X-ray energy dispersive scanning electron microscopy (SEM-EDS), ultraviolet-visible spectroscopy (UV-VIS), and transmission electron microscopy (TEM). The results confirmed the formation of crystalline nanoparticles of Cu <inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</inf> O with a cubic cuprite phase structure. The nanoparticles obtained have average diameters between 12 and 30 nm.
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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 | 0.001 | 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 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".