Optimization of thermoelectric properties of n-type Mn- and Te-doped Mg3Sb2-Bi phases
Bibliographic record
Abstract
This study explores the effects of Mg and Bi amounts, ball milling duration, and sintering conditions on the purity and thermoelectric properties of the Mn- and Te-doped Mg 3 Sb 2- x Bi x phases (Mg 2.97+ y Mn 0.03 Bi x Sb 1.99- x Te 0.01 ). We found that excess Mg is necessary to achieve phase pure samples, but too much Mg forms impurities that decrease thermoelectric efficiency. Increasing Bi content leads to lower phase stability and decomposition. There is also an optimal ball milling time, beyond which decomposition of the material occurs. The highest figure of merit, zT, of 1.44 was achieved for the Mg 3.27 Mn 0.03 Bi 1.30 Sb 0.69 Te 0.01 sample at 623K, which is comparable to the performance of Bi 2 Te 3 . Our findings suggest that Mg 3 Sb 2- x Bi x phases are promising low-cost and environmentally friendly thermoelectric materials mid-range temperature applications.
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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".