Gecko‐Gaskets for Multilayer, Complex, and Stretchable Liquid Metal Microwave Circuits and Antennas
Bibliographic record
Abstract
Abstract This paper describes a reliable, repeatable, and cost effective solution for fabrication of complex mechanically reconfigurable microfluidic devices for soft electronics. The devices are made of eutectic gallium indium (EGaIn) in styrene‐ethylene‐butylene‐styrene thermoplastic elastomer with gecko‐adhesive based bonding which both aids in sealing thin channels and directing flow of high surface energy metal into small channels in a repeatable process. Selective filling of complex microfluidic structures is achieved by controlled advancement of EGaIn‐air interface using optimized hydrophobic valves. These valves are designed based on EGaIn's critical Laplace pressure to fabricate variable aspect ratio and multilayer features or designs with multiple branches and arrays of isolated elements. As a proof of concept, different antennas (bow‐tie, folded and multilayer dipoles, and microstrip patch antennas) and a hybrid power divider are fabricated with total device thicknesses less than 600 µm. These devices can conform to complex surfaces for applications like body worn sensors, and can be stretched or bent to change their electromagnetic properties such as center frequency, bandwidth, and impedance matching.
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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".