State-Aware Multibit Write Algorithm for TiO<sub> <i>x</i> </sub>-Based Resistive Switching Memory Devices
Why this work is in the frame
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Bibliographic record
Abstract
Multibit programming of resistive random access memory (RRAM) favors RESET as the final writing operation to mitigate the conductance drift due to fast relaxation. However, directly applying this strategy to existing multibit programming methods would substantially increase the number of programming steps. This study demonstrates that the conductance modulation of RESET is dependent on the conductance state, voltage amplitude, and pulse duration. The observed state dependence is exploited to calculate the optimal parameters of RESET (voltage amplitude and pulse time) during programming. The calculation offers more precise parameter choices compared to conventional approaches, minimizing the chances of overwriting and decreasing the programming steps needed. Compared to using conventional approaches for 4-bit encoding, the multibit programming algorithm based on the proposed approach reduces the programming steps by more than 2.4<inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$\times$</tex-math> </inline-formula> and reduces the total RESET time by more than 2.2<inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$\times$</tex-math> </inline-formula>.
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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 | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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