TRIMER BARRIER HEIGHT EFFECT ON THE NATURE OF THE ELECTRONIC STATE OF THE SUPERLATTICE GaAs/AlxGa1−xAs
Bibliographic record
Abstract
Résumé. Par le formalisme de la matrice de transfert, le coefficient de transmission ainsi que la longueur de localisation sont étudiés dans le cas d’un superréseau (SR) a ̀ base de semi-conducteur en trimer hauteur de barrière (THB). Nous nous sommes intéressés au superréseau, forme ́ par un empilement de couche d’épaisseur constante du semi-conducteur GaAs/AlxGa1−xAs. La concentration x en aluminium prend au hasard, deux valeurs différentes, avec la condition que l’une d’entre elles apparâıt seulement en triplée. Les états électroniques du SR ont éte ́ étudiés par le calcul théorique du coefficient de transmission de la structure de minibande. Nous avons observe ́ que le processus de délocalisation existe quand le désordre est corrélé, résultat confirmant les espérances théoriques déja ̀ trouve ́ pour le cas du dimer. Abstract. By the formalism of transfer matrix, transmission coefficient and lo-calization length are studied in the case of a superlattice containing semiconductor in barrier height trimer (HBT). We are interested in the GaAs/AlxGa1−xAs layers, having identical thickness, where the aluminium concentration x takes at random two different values, with the constraint that one of them appears only triply, i.e. it is a random trimer barrier (RTB). The electronic states of SR were studied by theoretical calculation of transmission coefficient of the miniband structure. We observed that the process of delocalization exists when the disorder is correlated, the result confirming the theoretical studies already found for the case of the dimer. PACS numbers: 85.30.Vw, 61.72.Ji UDC 538.915 Mots clés: super-réseaux, coefficient de transmission, trimer en hauteur de barrière état délocalisé
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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 | 0.000 | 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) | 0.003 | 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".