Energy Band Engineering of Metal Nanodots for High Performance Nonvolatile Memory Application
Bibliographic record
Abstract
In this work, high density and small size metal nanodots (MND) with different work-functions were fabricated as a floating gate of nonvolatile memory (NVM) devices by self-assembled nanodot deposition (SAND). The energy band engineering of NVM was demonstrated through controlling MND work-function. For single MND layer floating gate NVM, the retention time was improved by choosing high work-function MND. Furthermore, we proposed a new type NVM with a double stacked MND floating gate. Here, the high work-function MND are placed on the top layer and the low work-function MND are placed on the bottom layer. A large memory window and long retention time were obtained. However, the thermal electron excitation is dominant for the electron discharge process during retention. How to reduce the defects in MND layer is important for further improving of memory characteristics.
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How this classification was reachedexpand
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".