Bridgman-grown CuInSe<inf>2</inf> with added Na<inf>2</inf>Se and Na
Bibliographic record
Abstract
Ingots containing single crystals were grown from melts containing Cu, In and Se in either stoichiometric proportions (CuInSe2) or with an excess of Se (CuInSe2.2). In addition, elemental sodium Na0was introduced to both sets of compositions in concentrations ranging from 0 to 3 at. %. Analysis of white deposits on the ampoule walls after growth revealed the presence of Na, however, none was found within the crystals. Further, a red deposit was also analyzed, and was revealed to contain sodium and various forms of the other elements. Thermoelectric power (α) measurements showed little change in the p-type conductivity of CuInSe2.2ingots with increases of Na0, but a dramatic type change from p to n was observed for stoichiometric CuInSe2with Na0concentrations above at least 0.1 at. %. This is in stark contrast to previous work using Na2Se, for which α was seen to decrease for both CuInSe2and CuInSe2.2, implying a hole concentration increase of more than an order of magnitude.
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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) | 0.001 | 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 | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".