Nature‐Inspired Functional Aerogel Fibers with Engineerable Core–Shell Morphology
Bibliographic record
Abstract
Abstract Aerogels offer exceptional multifunctionality but are often hampered by mechanical fragility, structural brittleness, and complex processing. Inspired by the core–shell architecture of the Canadian goose feather rachis, a scalable coaxial wet‐spinning approach is reported to produce wearable aerogel fibers. Polyimide (PI) shells encapsulating conductive Ti 3 C 2 T x MXene cores are fabricated via a tailored polyamic acid (PAA) solvent/non‐solvent exchange phase‐inversion process. Detailed mechanistic studies show that the ethanol–water ratio in the coagulation bath critically governs phase‐inversion kinetics, structural integrity, and hierarchical porosity. Under optimized conditions, the resulting aerogel fibers exhibit absorption‐dominant EMI shielding (54.9 dB), high mechanical robustness (tensile strength up to 20.4 MPa), and record‐level thermal insulation (thermal conductivity of 21.7 ± 1.5 mW m −1 K −1 ). This innovative chemical strategy provides a practical and scalable route to lightweight, durable, and multifunctional aerogel fibers for wearable electronics, thermal management, and EMI shielding applications.
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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".