Fabrication and Characterization of Autonomously Self‐Healable and Stretchable Soft Microfluidics
Bibliographic record
Abstract
Abstract In this paper, a novel self‐healable and stretchable microfluidics system for next generation wearable lab‐on‐a‐chip is presented. An imine‐based precursor with various metal sources (Co(II), Fe(II), and Zn(II)) is used for the development of an intrinsically autonomous self‐healing microfluidic device. Microfluidics fabrication is performed on the self‐healing substrate layer using a mold transfer method. The mechanical properties of the resulting layer are evaluated using tensile strain pull testing. Microfluidic characteristics including fluid flow, wettability, leak, and fluorescence compatibility are investigated to understand its performance in classical microfluidic applications. The new microfluidic devices are also characterized using scanning‐electron microscopy to evaluate the mold transfer capability. The self‐healing microfluidics and the corresponding detailed fluidic characterization presented in this paper will open new opportunities for microfluidic lab on a chip development for various applications, especially in wearable electronics.
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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".