Structural, Thermal, and Physical Properties of the Thallium Zirconium Telluride Tl<sub>2</sub>ZrTe<sub>3</sub>
Bibliographic record
Abstract
We have synthesized Tl 2 ZrTe 3 at elevated temperatures starting from the elements. Tl 2 ZrTe 3 adopts a cubic structure, space group P 2 1 3 with a unit cell parameter of a = 19.118(1) Å ( Z = 36). All Tl and Zr atoms are octahedrally (distorted) coordinated by Te atoms. One out of 11 crystallographically distinct Te atoms in the structure is not connected to any Zr atoms, but is surrounded by six Tl atoms in the form of a severely distorted octahedron. Because of the absence of any significant homonuclear interactions, all atoms are in their most common oxidation states, namely, Tl +, Zr 4+, and Te 2– . Electronic structure calculations and physical property measurements reveal the semiconducting characteristics of the compound. The structure and thermoelectric properties of Tl 2 ZrTe 3 and Tl 2 SnTe 3 are compared in the present work. The dimensionless figure of merit, ZT, was found to be 0.18 for Tl 2 ZrTe 3 at 420 K and 0.31 for Tl 2 SnTe 3 at 500 K, with both materials exhibiting very low thermal conductivity. Tl 2 ZrTe 3 decomposes irreversibly around 450 K in open systems under inert gas atmosphere, while it remains stable up to its incongruent melting point at 835 K in closed silica tubes.
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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".