Thermoelectric Properties of Re<sub>3</sub>Ge<sub>0.6</sub>As<sub>6.4</sub> and Re<sub>3</sub>GeAs<sub>6</sub> in Comparison to Mo<sub>3</sub>Sb<sub>5.4</sub>Te<sub>1.6</sub>
Bibliographic record
Abstract
Heavily doped narrow gap semiconductors with complex crystal structures are prime candidates for thermoelectric materials. The arsenides Re 3 (Ge,As) 7 are new examples with promising thermoelectric properties, comparable with the isostructural Mo 3 Sb 5.4 Te 1.6, a competitive high-temperature material. Various doping levels may be achieved by using different Ge/As ratios. Re 3 (Ge,As) 7 was prepared by heating the elements in the desired ratios in evacuated silica tubes between 600 and 800 °C. Re 3 GeAs 6 crystallizes in the cubic Ir 3 Ge 7 type, space group Im 3̄ m, with a = 8.73202(8) Å. It exhibits high Seebeck coefficient, high electrical conductivity, and reasonably low thermal conductivity. Moreover, the thermoelectric figure-of-merit ZT = TS 2 σ/κ increases rapidly with increasing temperature, as desired for high-temperature thermoelectrics.
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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) | 0.002 | 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".