Self-selective analogue FeO<i>x</i>-based memristor induced by the electron transport in the defect energy level
Bibliographic record
Abstract
A Fe2O3 film homojunction was orderly prepared by magnetron sputtering and a hydrothermal method. The Fe2O3 homojunction-based memristor exhibits an obvious self-selective effect as well as a typical analogue resistive switching (RS) memory behavior. A desirable self-rectifying voltage range (−1 to 1 V), stable resistance ratio, good cycling endurance (&gt;104 cycles), and long retention time (&gt;104 s) can be obtained from the Fe2O3 homojunction-based memristor. Oxygen vacancies (Vo) are inevitably generated during the growth of the Fe2O3 film. The self-selective analogue RS memory behavior is ascribed to the electron tunneling behavior between the potential barrier generated by the FeOx contact and the electron filling dynamic in the Vo-based traps. This work provides a simple method to prepare a self-selective analogue memristor and lays the foundation for the core device of neuromorphic computing.
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) | 0.000 | 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".