Mechanism and Application of Capacitive-Coupled Memristive Behavior Based on a Biomaterial Developed Memristive Device
Bibliographic record
Abstract
The memory elements are an indispensable part for many electronic equipment and integrated circuit applications. Nonvolatile resistance random access memory (RRAM) based on the memristive effect is considered to be a promising technology in developing memory devices with low cost and high performance. In this work, to meet the development requirements of green and sustainable electronic devices, a functional electronic device is designed and manufactured by using the earth-abundant resources of wheat flour (WF) as the main component of the dielectric layer. The as-prepared bioelectronic device shows a significant capacitive-coupled memristive effect, which has further been studied by changing the mass mixing ratio of WF and polyvinylidene fluoride (PVDF) under different test temperatures. Ultimately, the working mechanism of the bioelectronic device is explained by a conductive filaments model based on a redox reaction. Therefore, this work not only designs and fabricates a bioelectronic device with the capacitive-coupled memristive effect, but also proposes an artificial implantable application for the development of multifunctional bioelectronic devices.
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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) | 0.001 | 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".