Minimizers of the Lawrence–Doniach energy in the small-coupling limit: finite width samples in a parallel field
Bibliographic record
Abstract
In this paper we study the Lawrence–Doniach model for layered superconductors, for a sample with finite width subjected to a magnetic field parallel to the superconducting layers. We provide a rigorous analysis of the energy minimizers in the limit as the coupling between adjacent superconducting layers tends to zero. We identify a unique global minimizer of the Gibbs free energy in this regime (“vortex planes”), and reveal a sequence of first-order phase transitions by which Josephson vortices are nucleated via the boundary. The small coupling limit is studied via degenerate perturbation theory based on a Lyapunov–Schmidt decomposition which reduces the Lawrence–Doniach system to a finite-dimensional variational problem. Finally, a lower bound on the radius of validity of the perturbation expansion (in terms of various parameters appearing in the model) is obtained. Résumé Nous analysons rigoureusement les minimiseurs du modèle de Lawrence–Doniach pour les supraconducteurs en couche quand le paramètre de couplage de Josephson tend vers zero. Le champs magnétique imposé est parallèle aux plans supraconductifs et l'échantillon est de largeur fini. A l'aide d'une méthode de perturbation dégénérée basée sur une décomposition de Lyapunov–Schmidt, nous réduisons le système de Lawrence–Doniach à un problème variationel de dimension fini. Nous obtenons un minimiseur global unique (“les plans de vortex”) et montrons qu'il y a nucléations des vortex de Josephson à la frontière via une suite de transitions de premier ordre. Finalement, à l'aide d'estimations a-priori nous obtenons aussi une borne inférieure sur le rayon de convergence du développement de Taylor en termes de paramètres présents dans le modèle.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".