Synthesis of n-type CuInS<sub>2</sub> Particles Using <i>N</i>-methylimidazole, Characterization and Growth Mechanism
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Bibliographic record
Abstract
We report on the growth of CuInS 2 n-type semiconductive particles, prepared using N -methylimidazole, as a solvent and/or a complexing agent, as well as their chemical and electrochemical properties. XPS, EDX and ICP-AES have shown that an excess of indium was obtained, which was greater at the surface (CuIn 1.19 S 1.7 at 500 °C) than in the bulk (CuIn 1.07 S 1.9 at 500 °C). Solid state Raman spectroscopy revealed two crystalline phases: chalcopyrite and the so-called copper−gold phase, and by increasing the annealing temperature of the particles, the formation of the chalcopyrite phase is favored. UV−visible measurements showed that the n-type CuInS 2 possesses a direct bandgap energy of 1.55 eV. To perform the capacitance measurements on a CuInS 2 film by EIS, we used two organic redox couples in nonaqueous media: 5-mercapto-1-methyltetrazolate (T − )/di-5-(1-methyltetrazole) disulfide (T 2 ), and 5-trifluoromethyl-2-mercapto-1,3,4-thiadiazolate (G − )/5,5′-bis(2-trifluoromethyl-1,3,4-thiadiazole) disulfide (G 2 ). Using these redox couples, we determined Fermi levels of −4.51 eV and −4.53 eV, and majority charge carrier densities of 2.8 × 10 18 and 9.6 × 10 18 cm −3, respectively. According to the energy level diagram of the CuInS 2 /electrolyte interface, the G − /G 2 redox couple is expected to lead to a more efficient device. The present work shows that the complexation of the metal ions and the negative charge on sulfur anions play a key role in the mechanism of formation of CuInS 2 particles. In situ Raman spectroscopy measurements showed that an indium−sulfur precursor is formed prior to the formation of CuInS 2 particles. Indeed, if an indium−sulfur precursor is formed prior to the reaction of sulfur with copper, a much better control of the n-type CuInS 2 properties is obtained. This explains the excess of indium at the surface of the CuInS 2 particles, as well as its n-type semiconductivity.
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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 | 0.000 | 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 it