INTRINSIC NANOSCALE DISORDER IN HTSC: EFFECT ON THE PHYSICAL PROPERTIES
Bibliographic record
Abstract
Recent STM studies revealed nanoscale electronic disorder on the crystal surface in many cuprates. In BSCCO strong correlations between oxygen defect distributions on its surface and both the gap map and the coherence peak amplitude showed that the off-center distortions in the positions of oxygen atoms are responsible for most of the electronic disorder. Additional information on nanoscale inhomogeneities and its relationship to the lattice strain and oxygen redistribution can be obtained from the electrical transport that uses Percolating Persistent Supercurrents which are known to bypass regions of a reduced order parameter (macroscopic crystal defects). Our investigations identified universal (sample independent) features in the superconducting properties which can be attributed to the presence of a nanoscale inhomogeneity, such as nanogranular Josephson effects, strain-induced filamentary and percolative flow of the transport current, etc. Local oxygen redistribution, induced either by careful low temperature annealing or by room temperature aging, modifies both the superconducting and the normal state properties.
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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".