Bibliographic record
Abstract
Thermoelectric (TE) alloys based on Bi2Te3 are under intense development for current large-scale industrial applications. A quantitative understanding of their lattice thermal conductivity κlat is trailing mainly for two reasons: (i) lack of reliable κlat data and, surprisingly, (ii) lack of precise knowledge of the thermal properties of the parent compound, even in its crystalline form. In this work, we examine the existing data on crystalline Bi2Te3 and point out why data below its Debye temperature ΘD are necessary in order to develop a better understanding of heat transfer in the compound and alloys under current development. The measured temperature dependence of κlat from 2–300 K is compared to a simplified heat transport model based on the relaxation time approximation, as well as to more recent and elaborate calculations. Most data on polycrystalline TE materials currently under development only cover a limited temperature range above their Debye temperature ΘD. Yet, comparisons with hot extruded bulk polycrystalline Bi–Sb–Te–Se alloys with compositions close to Bi2Te3 stress the importance of obtaining data below ΘD in order to advance our understanding of the thermal properties of these materials so important for TE applications below 500 K. Attempting to understand and examine the thermal transport of solids based on the approximations involved in the pioneering work of the late 1950s is not justified except below their Debye temperature.
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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 | 0.000 | 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 | 0.001 |
| 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 teacher head, 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".