Synthesis and Characterization of N-Type CuGaS <sub>2</sub> Nanoparticles and Films for Purpose of Photoelectrocatalytic Water Splitting
Bibliographic record
Abstract
In this work, n -type CuGaS 2 (CGS) nanoparticles were synthesized using an original colloidal method in N-Methylimidazole solvent with GaCl 3 , Li 2 S and CuCl as Ga 3+ , S 2− and Cu + precursors, respectively. After annealing at 600 °C, energy-dispersive X-ray spectroscopy and X-ray photoelectron spectroscopy revealed an excess of gallium with a bulk Ga/Cu atomic ratio of 1.01 and a larger value at the surface. The CGS X-ray diffraction pattern is compatible with a chalcopyrite crystalline phase with crystallites size of about 17 nm. UV-visible spectroscopy measurements showed that CGS sample has a direct band gap energy of 2.41 eV. Capacitance measurements, carried out in aqueous 0.5 M KOH on CGS thin film, using electrochemical impedance spectroscopy, confirmed the material n -type conductivity. The Fermi level was found to be −3.93 eV and the majority charge carrier density is 1.93 × 10 18 cm −3 . The valence band higher energy level and the conduction band lower energy level are −6.31 eV and −3.90 eV, respectively. The energy level diagram of the n -CuGaS 2 /electrolyte junction suggests that photo-oxidation of OH − species to produce O 2 gas would be favorable; however, a small external cathodic bias would be required to generate H 2 gas at the platinum counter electrode.
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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) | 0.000 | 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".