Logic-in-Memory With a Nonvolatile Programmable Metallization Cell
Bibliographic record
Abstract
This paper introduces two new cells for logic-in-memory (LiM) operation. The first novelty of these cells is the resistive random access memory configuration that utilizes a programmable metallization cell as nonvolatile element. CMOS transistors and ambipolar transistors are used as processing and control elements for the logic operations of the LiM cells. The first cell employs ambipolar transistors and CMOS in its logic circuit (7T2A1P), while the second LiM cell uses only MOSFETs (9T1P) to implement logic functions, such as AND, OR, and XOR. The operational mode of the proposed cells is voltage-based, which is much different from the previous designs in which a LiM cell operates on a current mode. Extensive simulation results using HSPICE are provided for the evaluation of these cells; comparison shows that the proposed two cells outperform previous LiM cells in metrics, such as logic operation delays, power delay product, circuit complexity, write time, and output swing.
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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 | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".