Practical Considerations for Gallium-Based Liquid Metal for Stretchable Electronics: Metal Contacts and Strain Cycling
Bibliographic record
Abstract
Gallium (Ga)-based liquid metals (LMs) are promising for stretchable electronics due to their metallic conductivity and liquid-like deformability. As a step toward utilizing Ga-based LM in commercial devices, we sought to address two practical considerations: (1) The stability and contact resistance of electrical contacts between solid metal and LM, and (2) the stability of LM in response to strain cycling. We studied the long-term (∼1000 h) interfacial stability between LM and conventional metals used in electronics, such as copper (Cu), tin (Sn), and silver (Ag), at elevated temperature (100 °C). The interface between Ga and Cu forms a thin layer of CuGa 2 and Cu 9 Ga 4 intermetallic that separates Ga from the Cu and thereby significantly slows down degradation and provides stable contact resistance relative to other common metals such as Sn or Ag, which dissolve rapidly into the Ga. Additionally, we demonstrated that LM wires maintain consistent resistance profiles during more than 15,000 strain cycles. The electromechanical response to strain cycling of the LM is much better than that of a commercial stretchable conductor (i.e., elastomeric composites containing Ag flakes). These results should lower the barrier to the practical implementation of LM in stretchable 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 | 0.001 | 0.002 |
| 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 | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".