Bioinspired Substrate Structures for High-Performance Room-Temperature Chemiresistive Gas Sensors
Bibliographic record
Abstract
In the field of gas sensors, there is a growing demand for efficient gas detection. Current research mainly focuses on the selection and optimization of sensing materials, while the geometry of sensors is often ignored. Most sensors are designed with simple planar or cylindrical geometries. In this work, biomimetic sensor structures were built, inspired by the olfactory turbinate of the Labrador retriever. Computational fluid dynamics (CFD) simulations revealed that the biomimetic structure enhances sensing performance by optimizing the flow field distribution and increasing the local concentration and surface adsorption concentration around the sensor. To validate these biomimetic structures, we developed high-performance room-temperature chemiresistive gas sensors. We shaped the flexible sensors into forms mimicking canine turbinates and validated the impact of these structures on sensor performance. Experimental results show that the biomimetic sensors have an average response of 390% to 100 ppm of NH 3, which is 5.62 times higher than that of traditional, non-biomimetic sensors.
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How this classification was reachedexpand
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) | 0.001 | 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 teacher head, 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".