Concomitant formation of a pseudogap with the <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mi>β</mml:mi><mml:mtext>−</mml:mtext><mml:mi>to</mml:mi><mml:mtext>−</mml:mtext><mml:msup><mml:mi>β</mml:mi><mml:mo>′</mml:mo></mml:msup></mml:math> structural phase transition in melt-quenched <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mrow><mml:msub><mml:mi>As</mml:mi><mml:mn>2</mml:mn></mml:msub><mml:msub><mml:mi>Te</mml:mi><mml:mn>3</mml:mn></mml:msub></mml:mrow></mml:math>
Bibliographic record
Abstract
${\mathrm{As}}_{2}{\mathrm{Te}}_{3}$ is a chalcogenide with many polymorphic phases. Of current interest are the $\ensuremath{\beta}$ and ${\ensuremath{\beta}}^{\ensuremath{'}}$ phases which have been investigated primarily in the context of their close relationship to the isostructural topological insulator ${\mathrm{Bi}}_{2}{\mathrm{Te}}_{3}$. The $\ensuremath{\beta}$-to-${\ensuremath{\beta}}^{\ensuremath{'}}$ phase transition of ${\mathrm{As}}_{2}{\mathrm{Te}}_{3}$ exhibits a large anomaly in the resistivity that has remained unexplained. In this work we have measured the electronic transport properties of this phase transition in melt-quenched ${\mathrm{As}}_{2}{\mathrm{Te}}_{3}$ via dc resistivity and infrared reflectivity measurements. A sigmoidal fit has been used to describe the general behavior of the resistivity curves over a wide temperature range in order to characterize how hysteresis affects the phase transition anomaly. The optical measurements have identified the formation of a concomitant pseudogap of magnitude $\ensuremath{\approx}100\phantom{\rule{4pt}{0ex}}\mathrm{meV}$ affecting approximately $25%$ of the carriers. Charge density wave order is compatible with the formation of a partial gap as well as the observation of thermal hysteresis, suggesting it could be responsible for the $\ensuremath{\beta}\text{\ensuremath{-}}{\ensuremath{\beta}}^{\ensuremath{'}}$ transition in melt-quenched ${\mathrm{As}}_{2}{\mathrm{Te}}_{3}$.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.016 | 0.003 |
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".