Improved Thermoelectric Performances of Oxide-Containing FeSi<SUB>2</SUB>
Why this work is in the frame
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Bibliographic record
Abstract
Because of its chemical stability and low cost, iron silicide is a promising thermoelectric material for use at high temperatures. Its performance, however, is poor compared with that of BiTe, PbTe, or SiGe, which are popular thermoelectric materials. We produced n-type FeSi2 samples containing various oxides, which showed a good thermoelectric performance. We attempted to unify the parameters attributing to thermoelectric performance, and the electrical resistivity decreased while an adequate Seebeck coefficient was retained and the thermal conductivity was reduced. This results in a greater value of the Seebeck coefficient, particularly on addition of Sm2O3; the resulting figure of merit ZT was 0.56 at 868 K. Addition of Er2O3 gave a ZT value of 0.54 at 877 K, and the material showed a lower thermal conductivity of 2–2.5 W/m·K.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 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