Strain‐Tolerant Nanocomposite Conductors with Engineered Bicontinuous Phase System by Additive Liquid/Solid Assembly
Bibliographic record
Abstract
Abstract Intrinsically stretchable conductors are vital components in next‐generation flexible electronics. However, solid conductive networks are generally vulnerable to external deformations due to their incompatible mechanical properties with the highly elastic substrates or matrixes. It is still challenging to achieve precisely controlled conductive structure with stable electromechanical performances. Herein, a nanocomposite conductor with 3D engineered bicontinuous phase system is developed, which is constructed by alternately arranged robust solid‐phase and conductive liquid‐phase via additive liquid/solid assembly. The proper rheological properties and extraordinary structural compatibility of the liquid‐phase prompt the formation of bridged structure within the 3D periodic solid‐phase main skeleton, giving rise to stable and even strain‐enhanced electrical and electromagnetic interference (EMI) shielding properties under external deformation. A negative resistance change of −37% along with unabated EMI shielding effectiveness and mechanical properties are obtained at 100% strain, showing negligible performance degradation even after 10,000 cycles of rigorous stretching and releasing. A strain‐tolerant pressure‐sensing device is further demonstrated using the liquid/solid nanocomposite structure, delivering a unique function of precisely recognizing the local pressure at large tensile loading interference. This work provides a new paradigm for the manufacturing of nanocomposites with desired functionalities using the adequate nanofiller reserve toward practical strain‐tolerant applications.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.001 | 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 | 0.001 |
| 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".