Tailoring pore structure in nanocellulose cryogels: Enhancing thermal and electromagnetic interference shielding properties
Why this work is in the frame
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Bibliographic record
Abstract
Engineering porosity levels in hierarchical cryogels presents an exciting opportunity for advancing electromagnetic interference (EMI) shielding materials. This study introduces a feasible approach to tailoring micro-scale morphology in cellulose nanofiber (CNF)-based cryogels by simply adjusting the freeze-templating temperature, resulting in tunable porosity and enhanced performance characteristics. By varying the freeze-templating temperature, we successfully controlled pore size (ranging from 31 to 178 μm), which influenced the mechanical strength (decreasing from 59 to 14 kPa). To explore the effect of micro-scale porosity on the EMI shielding performance, we rendered the CNF cryogels conductivity upon integrating poly(3,4-ethylenedioxythiophene) (PEDOT) with the cryogels framework via chemical vapor polymerization. Our results demonstrate that the larger pore sizes promoted an absorption-dominant EMI shielding mechanism, with an average absorbance (A) of 0.59 across the X-band frequency range. A specific EMI shielding effectiveness (SSE/t) of 4801.25 dB cm 2 g −1 was achieved for samples with larger porosities, highlighting the decent performance of these engineered cryogels. Our findings reveal a straightforward yet effective strategy for optimizing porosity to achieve appreciable shielding effectiveness, contributing to the advancement of sustainable, high-performance EMI shielding solutions.
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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 | 0.000 | 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) | 0.000 | 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