Enhanced\nThermoelectric Properties of Variants of\nTl<sub>9</sub>SbTe<sub>6</sub> and Tl<sub>9</sub>BiTe<sub>6</sub>
Bibliographic record
Abstract
Tl<sub>9</sub>BiTe<sub>6</sub>, a substitution variant of Tl<sub>5</sub>Te<sub>3</sub>, is one of the leading midtemperature thermoelectrics\nand is postulated to exceed <i>ZT</i> = 1 above 450 K when\nprepared by zone-melting and reach <i>ZT</i> = 0.86 at 560\nK after hot-pressing. We have prepared the isostructural series Tl<sub>9</sub>Sb<sub>1–<i>x</i></sub>Te<sub>6</sub>, Tl<sub>9–<i>x</i></sub>Sb<sub>1+<i>x</i></sub>Te<sub>6</sub>, Tl<sub>9</sub>Bi<sub>1–<i>x</i></sub>Te<sub>6</sub>, and Tl<sub>9–<i>x</i></sub>Bi<sub>1+<i>x</i></sub>Te<sub>6</sub>, with <i>x</i> ranging from 0 to 0.05, from the elements in the stoichiometric\nratios and determined their thermoelectric properties after hot-pressing.\nIn theory, these tellurides are narrow-gap semiconductors when <i>x</i> = 0, with all elements in common oxidation states, according\nto (Tl<sup>+</sup>)<sub>9</sub>(Sb/Bi)<sup>3+</sup>(Te<sup>2–</sup>)<sub>6</sub>. The as-prepared samples of this 9-1-6 stoichiometry,\nhowever, exhibit relatively high electrical conductivity, which decreases\nwith increasing temperature, indicative of the presence of extrinsic\ncharge carriers. The Seebeck coefficient is generally above +100 μV\nK<sup>–1</sup>. Decreasing the Sb and Bi content increases\nthe hole carrier concentration and thus increases the electrical conductivity\nwhile decreasing the Seebeck coefficient. The best feature of these\nthermoelectrics is their low thermal conductivity, which is consistently\nwell below 0.7 W m<sup>–1</sup> K<sup>–1</sup>. In combination\nwith reasonable electrical conductivity and a high Seebeck coefficient,\nhigh <i>ZT</i> values in excess of 1 can also be achieved\nvia simple hot-pressing after experimental optimization of the carrier\nconcentration via introducing deficiencies on the Bi site. Moreover,\nthe variants with Sb instead of Bi exhibit similar thermoelectric\nperformance, a result of the combination of a better electrical performance\nand higher thermal conductivity.
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How this classification was reachedexpand
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 | 0.004 | 0.007 |
| Meta-epidemiology (narrow) | 0.007 | 0.006 |
| Meta-epidemiology (broad) | 0.009 | 0.002 |
| Bibliometrics | 0.003 | 0.006 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.002 | 0.006 |
| Open science | 0.008 | 0.004 |
| Research integrity | 0.004 | 0.002 |
| Insufficient payload (model declined to judge) | 0.023 | 0.008 |
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; both teacher heads agree on what is shown here.
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".