Synergistic Microstructure-driven Polarization and Conductive Loss in 3D Chrysanthemum-like MoC@NiCo LDH Composite for Ultra-high Microwave Absorption Performance
Bibliographic record
Abstract
The development of efficient electromagnetic wave (EMW) absorbing materials relies on rational microstructures and loss mechanisms. This study innovatively proposes a design strategy based on micronano structural regulation─heterogeneous interface construction─synergistic loss optimization and fabricates a MoC@NiCo layered double hydroxide (LDH) composite material with a 3D chrysanthemum-like morphology. The petal-like microstructure enhances the multiple reflection and scattering effects of the incident EMWs, while heterogeneous interfaces further stimulate interface polarization. Meanwhile, density functional theory (DFT) guides the regulation of polarization and conduction loss synergy for efficient EMW energy attenuation. Experimental results show that the composite material, with a thickness of only 2.4 mm, has a minimum reflection loss (RL min ) of −57.9 dB, and an maximum effective absorption bandwidth (EAB max ) covering 5.4 GHz, encompassing the entire C, X, and Ku frequency bands. Radar cross-sectional (RCS) testing further verifies the potential of the material to effectively attenuate EMWs in practical applications. This study provides theoretical basis and method guidance for the efficient design of absorbing materials through the synergistic regulation of polarization loss and conductivity loss and lays a theoretical foundation for the further design of EMW absorbing materials that meet more stringent practical application requirements.
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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 | 0.000 | 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 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".