A Flexible Corn Starch‐Based Biomaterial Device Integrated with Capacitive‐Coupled Memristive Memory, Mechanical Stress Sensing, Synapse, and Logic Operation Functions
Bibliographic record
Abstract
Abstract Biomaterials‐based electronic devices (BEDs) have remarkable advantages such as biocompatibility and biodegradability, which are expected to have promising prospects in the development of green electronics such as wearable smart sensors and brain‐like synaptic devices. However, the development of BEDs is still in its infancy, and much work remains to be done before this technology can be widely used. Here, a novel corn starch‐based BED with a sandwiched structure of Ag/Corn starch:PVDF/ITO is developed, which has integrated multifunctional performance of capacitive‐coupled memristive memory, flexible mechanical stress sensing, synaptic application, and logic operation. Specifically, this device exhibits a wide memristive voltage operating range (1–16 V), a high bending response current (3.5–4.5 µA), long‐term durability synaptic performance, and logic operation capability. These advantageous characteristics endow this device has a good potential to be used in flexible wearable electronics and artificial intelligence.
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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) | 0.000 | 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 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".