Thermoelectric Properties of the Chalcopyrite Solid Solutions ZnGe<sub>1–<i>x</i></sub>Sn<sub><i>x</i></sub>P<sub>2</sub>
Bibliographic record
Abstract
To investigate whether environmentally benign chalcopyrite phosphides may be used in the thermoelectric energy conversion, the solid solution ZnGe 1– x Sn x P 2 was prepared by ball-milling, followed by hot-pressing with x = 0, 0.25, 0.5, 0.75, and 1. Despite the comparably light constituent elements and the simple crystal structure, the room temperature thermal conductivity went below 3 W m –1 K –1 in the middle of the series ( x = 0.5), where the phonon scattering caused by the alloying effect was maximized. Band structure engineering can be employed to enhance the band degeneracies either at the top of the valence band or at the bottom of the conduction band by varying x (the Sn content). Boltztrap calculations revealed that high power factor values can be achieved on either side of the Fermi level. Combining these results assuming a constant relaxation time with the experimental thermal conductivity data confirmed that zT values in excess of unity could theoretically be obtained at 900 K for all members at different doping levels; for p-doping, the highest zT of 1.7 was predicted to for ZnGe 0.5 Sn 0.5 P 2, and for n-doping, a peak zT of 1.4 was predicted for ZnGeP 2 . It remains to be seen whether these doping levels can be experimentally obtained.
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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) | 0.001 | 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 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".