Chaotic Direct Ink Writing (ChDIW) of Hybrid Hydrogels: Implication for Fabrication of Micro‐ordered Multifunctional Cryogels
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The modern era demands multifunctional materials to support advanced technologies and tackle complex environmental issues caused by these innovations. Consequently, material hybridization has garnered significant attention as a strategy to design materials with prescribed multifunctional properties. Drawing inspiration from nature, a multi-scale material design approach is proposed to produce 3D-shaped hybrid materials by combining chaotic flows with direct ink writing (ChDIW). This approach enables the formation of predictable multilayered filaments with tunable microscale internal architectures using just a single printhead. By assigning different nanomaterials to each layer, 3D-printed hydrogels and cryogels with diverse functionalities, such as electrical conductivity and magnetism are successfully produced. Furthermore, control over the microscale pore morphology within each cryogel filament is achieved, resulting in a side-by-side dual-pore network sharing a large interfacial area. The ChDIW is compatible with different types of hydrogels as long as the rheological features of the printing materials are well-regulated. To showcase the potential of these multilayered cryogels, their electromagnetic interference shielding performance is evaluated, and they reveal an absorption-dominant mechanism with an excellent absorption coefficient of 0.71. This work opens new avenues in soft matter and cryogel engineering, demonstrating how simplicity can generate complexity.
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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 | 0.001 | 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) | 0.000 | 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 it