One‐Pot Asymmetric Assembly of Hierarchical Triple‐Layer Nickel Foam/Titanium Carbonitride MXene Aerogels for Superior Microwave Absorption and Tailored Thermal Management
Bibliographic record
Abstract
Abstract Rapid strides in portable electronics and telecommunication technologies have sharply escalated the demand for high‐performance electromagnetic interference (EMI) shielding materials that effectively suppress secondary electromagnetic pollution while simultaneously integrating thermal management. Here an innovative, lightweight, hierarchical triple‐layer aerogel structure comprising nickel (Ni) foam (NiF), titanium carbonitride (Ti 3 CNT x ) MXene, and poly(vinyl alcohol) (PVA), fabricated via a facile, one‐step bidirectional freeze‐casting process is presented. This asymmetric aerogel architecture strategically employs an impedance‐matching MXene/PVA top layer for optimized microwave entry, a NiF/MXene/PVA interlayer introducing magnetic loss and enhancing heat conduction, and a reflective, thermally foamed MXene bottom layer promoting internal reflection for superior energy absorption. With an ultralow density (240 mg cm −3 ) and robust mechanical stability supported by hydrogen bonding, the aerogels enable synergistic energy loss mechanisms, delivering outstanding EMI shielding effectiveness (91.7 dB) and absorptivity (88%) at 3.4 mm thickness. Tailored thermal management is achieved through contrasting thermal conductivities across layers; the insulating top layer (0.056 W m −1 K −1 ) restricts vertical heat flow, whereas the conductive NiF‐based interlayer (0.932 W m −1 K −1 ) accommodates efficient lateral heat dissipation upon microwave absorption. This multifunctional, scalable material platform sets a benchmark for addressing EMI shielding challenges, holding great promise for future electronics and communication systems.
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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 | 0.001 | 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 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".