Study of Optimization Guidelines on Nitrogen Concentration in Nitrided Oxide for Logic and Dynamic Random Access Memory Application
Bibliographic record
Abstract
In this paper, we report on the issues and optimization guidelines for nitrided oxide (NO) gates for logic and dynamic random access memory (DRAM) devices. We intensively studied the dependence of device characteristics on the nitrogen concentration in NO gates. In the case of logic devices, degradation of short channel characteristics in n-channel metal oxide semiconductor field effect transistors (NMOSFETs) and degradation of drive current in p-channel MOSFETs (PMOSFETs) limits the maximum nitrogen concentration. In DRAMs, an additional V T dose to compensate for the decrease of V T in NO gates causes a degradation in the refresh time performance due to the increase of the electric field in the space-charge region. This reveals that, for NO-gate DRAM, the nitrogen concentration should be minimized to prevent the degradation of refresh 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".