Porous Biomass Carbon Composites Derived from Canadian Goldenrod and Their Excellent Microwave Absorption
Bibliographic record
Abstract
Electromagnetic wave pollution has become a growing concern in recent decades. Biomass-derived carbon materials have attracted significant attention as wave-absorbing materials due to their easy availability, low cost, and environmental friendliness. In this study, the invasive plant Solidago canadensis (Canada goldenrod) in China was used as the carbon source, and a two-step pyrolysis and hydrothermal process was applied to create a porous composite material with magnetic CoFe2O4 particles. This improved the impedance matching of the biomass carbon and introduced multiple loss mechanisms. The combination of magnetic loss, interfacial polarization, dipole polarization, and multiple reflections in the biomass carbon produced a material with excellent microwave absorption properties. At 16.76 GHz with a thickness of 2.5 mm, the material achieved a minimum reflection loss of −35.21 dB and an effective absorption bandwidth of 7.76 GHz. This study presents a promising method for developing biomass-based absorbers and offers an efficient, cost-effective, and environmentally friendly solution for managing invasive species.
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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 | 0.001 |
| 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".