The Electronic Device with Resistance Switching Behavior based on Different Mechanisms
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Due to the limitations of materials and structures, the performance of the von Neumann structure of traditional computers cannot meet the needs of today's people. The development of new electronic devices is the most effective way to improve the performance of computers. Devices with resistive switching behavior can realize simultaneous operating data storage and processing, which greatly saves the space required for device integration and reduces energy consumption at the same time. These advantages provide it with huge potential in advanced technology fields such as machine learning and neuromorphic computing. However, there are still challenges such as stability, miniaturization and working environment before this device realized its business purpose. In this thesis, memristor with rectifying effect is fabricated successfully, and its possible applications of neuromorphic computing and logic operations are discussed. In addition, two different methods were used to prepare phase-change materials, which are expected to be fabricated into phase-change memories.
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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 it