A DFT Investigation of the Thermoelectric Properties of Ca-Doped Bi₂O₂ and Cu₂Se₂ Layers with Respect to the Thermoelectric Performance of BiCuSeO
Bibliographic record
Abstract
The thermoelectric properties of doped BiCuSeO are influenced by doping on both the Bi2O2 and Cu2Se2 layers.Density functional theory (DFT) simulations were used in this work to predict thermoelectric performance after doping to both layers of BiCuSeO in order to reduce the monetary and time costs of experimental testing, allowing for more rigorous review of the resulting changes in electrical and thermal conductivity and evaluation of how these modifications can be used to optimize the material's thermoelectric efficiency.Testing whether the various changes to temperature and doping had any substantial impact on the material's thermoelectric properties was done using statistical methodologies.The best results were thus obtained for Bi0.9Ca0.1CuSeO at 950, at a value of 2 E+12.The doped layer of Cu2Se2 had lower ZTe values than pure BiCuSeO, however, indicating that these efforts to improve thermoelectric capabilities were ineffective.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".