Tracking the Interface of an Individual ZnS/ZnO Nano-Heterostructure
Bibliographic record
Abstract
Understanding and controlling the electronic structure in semiconductor heterostructures is of foremost importance in order to achieve their promise in broad applications. Here we report the chemical mapping and the electronic structure of a single ZnS nanobelt/ZnO nanorod heterostructure by scanning transmission X-ray microscopy. It is the first time that nanoscaled spectroscopy across the interface between the ZnS and ZnO nanocomponents is studied in detail. Nano-X-ray absorption near edge structure at both O K-edge and Zn L 3,2 -edge indicates that ZnO was anchored underneath the side surfaces of ZnS nanobelt. The threshold shift of the edge energy across the ZnS/ZnO interface illustrates an upward movement of the unoccupied states of O character in the conduction band of ZnO and a downward movement of the unoccupied states of S character in the conduction band of ZnS, revealing the effect of the interface on band alignments of the ZnS/ZnO nanocomposite.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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".