Synthesis and Structural and Physical Properties of New Semiconducting Quaternary Tellurides: Ba<sub>4</sub>Ag<sub>3.95</sub>Ge<sub>2</sub>Te<sub>9</sub>and Ba<sub>4</sub>Cu<sub>3.71</sub>Ge<sub>2</sub>Te<sub>9</sub>
Bibliographic record
Abstract
Two quaternary tellurides, Ba(4)Ag(3.95)Ge(2)Te(9) and Ba(4)Cu(3.71)Ge(2)Te(9), were prepared in evacuated silica tubes at 750 degrees C. Both tellurides crystallize in space group Pbam, with lattice parameters of a = 8.6835(3) A, b = 13.6421(4) A, c = 10.2612(3) A, and V = 1215.55(7) A(3) (Z = 2) for Ba(4)Ag(3.95)Ge(2)Te(9) and a = 8.6464(2) A, b = 13.5305(4) A, c = 10.0810(3) A, and V = 1179.38(6) A(3) (Z = 2) for Ba(4)Cu(3.71)Ge(2)Te(9). These structures are comprised of planar Ag(4)/Cu(4) clusters and dimeric Ge(2)Te(6) units, which are interconnected through Te atoms into a three-dimensional structure. Several split sites in the case of Ba(4)Cu(3.71)Ge(2)Te(9) are reflected in additional, different clusters, including a linear Cu(3) unit. The covalent Ag-Te/Ge-Te network surrounds a one-dimensional linear channel running along the c direction, encompassing the Ba atoms. Electronic structure calculations and transport property measurements show that these two compounds are p-type semiconductors with calculated band gaps of 0.24 eV for the Ag compound and 1.0 eV for the Cu compound.
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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".