Perylene-Based Columnar Liquid Crystal: Reveling Unipolar Resistive Switching for Nonvolatile Memory Devices
Bibliographic record
Abstract
Abstract Perylene-based columnar liquid crystal (LC) devices exhibit unipolar resistive switching (RS), clearly identified on cyclic J-V curve hysteresis, stable for several cycles. Trap-controlled SCLC conduction is responsible for the charge transport in the active layer, where the “set” and “reset” processes occur. The incorporation of ZnO@SiO2 quantum dots significantly enhances the RS response. The distinguishing result presented here is the ability to write-read-erase-read, controlling the "on" and "off" states by applying an external electric field, allowing to store and read information multiple times. An endurance of nearly one order of magnitude between the low and high RS states was determined over 50 consecutive cycles. The device proved to be resilient, preserving the resistive switching effect and memory capacity even after one year maintained at room temperature in ambient atmosphere. DFT calculations indicate a conduction mechanism based on reversible reductions of the perylene LC molecules. This article highlights the ability of LCs to store and process information via their resistivity, with potential for the production of low-cost and large-area nonvolatile printed organic memories.
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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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".