Thermoelectric Properties of Ag-=SUB=-8-=/SUB=-Ge-=SUB=-1-x-=/SUB=-Mn-=SUB=-x-=/SUB=-Te-=SUB=-6-=/SUB=- Solid Solutions
Bibliographic record
Abstract
Ag8Ge1-xMnxTe6 solid solutions with different manganese content (x=0, 0.05, 0.1, 0.2) were prepared by alloying and further pressing the powders under a pressure of 0.6 GPa. By the X-ray diffraction studies have shown that the introduction of manganese atoms leads to the compressibility of the Ag8GeTe6 lattice. All p-type samples had high resistance below the transition at temperatures of 180-220 K. An increase in electrical conductivity in the range of 220-300 K was analyzed using the Mott ratio; at temperatures T>320 K, semiconductor behavior is observed in all compositions. The highest thermoelectric figure of merit ZT=0.7 at 550 K was obtained for a solid solution of the composition Ag8Ge1-xMnxTe6 (x=0.05). Keywords: solid solution, Ag8Ge1-xMnxTe6, thermoelectric efficiency, amorphization, low thermal conductivity
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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".