Nernst and Seebeck Coefficients of the Cuprate Superconductor<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"><mml:msub><mml:mi>YBa</mml:mi><mml:mn>2</mml:mn></mml:msub><mml:msub><mml:mi>Cu</mml:mi><mml:mn>3</mml:mn></mml:msub><mml:msub><mml:mi mathvariant="bold">O</mml:mi><mml:mn>6.67</mml:mn></mml:msub></mml:math>: A Study of Fermi Surface Reconstruction
Bibliographic record
Abstract
The Seebeck and Nernst coefficients $S$ and $\ensuremath{\nu}$ of the cuprate superconductor ${\mathrm{YBa}}_{2}{\mathrm{Cu}}_{3}{\mathrm{O}}_{y}$ (YBCO) were measured in a single crystal with doping $p=0.12$ in magnetic fields up to $H=28\text{ }\text{ }\mathrm{T}$. Down to $T=9\text{ }\mathrm{K}$, $\ensuremath{\nu}$ becomes independent of field by $H\ensuremath{\simeq}30\text{ }\text{ }\mathrm{T}$, showing that superconducting fluctuations have become negligible. In this field-induced normal state, $S/T$ and $\ensuremath{\nu}/T$ are both large and negative in the $T\ensuremath{\rightarrow}0$ limit, with the magnitude and sign of $S/T$ consistent with the small electronlike Fermi surface pocket detected previously by quantum oscillations and the Hall effect. The change of sign in $S(T)$ at $T\ensuremath{\simeq}50\text{ }\mathrm{K}$ is remarkably similar to that observed in ${\mathrm{La}}_{2\ensuremath{-}x}{\mathrm{Ba}}_{x}{\mathrm{CuO}}_{4}$, ${\mathrm{La}}_{2\ensuremath{-}x\ensuremath{-}y}{\mathrm{Nd}}_{y}{\mathrm{Sr}}_{x}{\mathrm{CuO}}_{4}$, and ${\mathrm{La}}_{2\ensuremath{-}x\ensuremath{-}y}{\mathrm{Eu}}_{y}{\mathrm{Sr}}_{x}{\mathrm{CuO}}_{4}$, where it is clearly associated with the onset of stripe order. We propose that a similar density-wave mechanism causes the Fermi surface reconstruction in YBCO.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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".