Universal heat conduction and nodal gap structure of the heavy-fermion superconductor<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"><mml:mrow><mml:msub><mml:mrow><mml:mtext>CeIrIn</mml:mtext></mml:mrow><mml:mn>5</mml:mn></mml:msub></mml:mrow></mml:math>
Bibliographic record
Abstract
The effect of impurity scattering on the thermal conductivity $\ensuremath{\kappa}$ of the heavy-fermion superconductor ${\text{CeIrIn}}_{5}$ was studied for a current parallel $(J\ensuremath{\parallel}c)$ and perpendicular $(J\ensuremath{\parallel}a)$ to the tetragonal $c$ axis. For $J\ensuremath{\parallel}a$, adding La impurities does not change the residual linear term ${\ensuremath{\kappa}}_{0a}/T$, showing that heat conduction in the basal plane is universal, compelling evidence that the superconducting gap vanishes along a symmetry-imposed line. By contrast, for $J\ensuremath{\parallel}c$, La impurities greatly enhance the residual linear term ${\ensuremath{\kappa}}_{0c}/T$. This is strong evidence that the line of nodes lies within the basal plane, a gap structure which is inconsistent with the $d$-wave symmetry proposed for the isostructural superconductor ${\text{CeCoIn}}_{5}$. Different symmetries in the two materials could explain why the phase diagram of this heavy-fermion family consists of two separate superconducting domes. We also compare our data on ${\text{CeIrIn}}_{5}$ to corresponding data on the heavy-fermion superconductor ${\text{UPt}}_{3}$, where no universal conduction is observed.
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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 | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".