Highly reflective porous SiC with layered nanostructures formed by electrochemical etching
Bibliographic record
Abstract
• Distinct layered nanostructures are achieved by electrochemical etching with a low concentration of HF. • Surface chemistry is studied via XPS for a comprehensive understanding of etching mechanisms. • As prepared spontaneously formed layered structures show an ultra-high optical reflectance for most of visible light. • The enhancement of reflectance is provided by the layered structures of SiC and air. A highly reflective porous SiC morphology having spontaneously layered nanostructures is described. It exhibits high reflectance (R > 90 %) across most of the visible light range. Fabrication is achieved by anodic electrochemical etching with a hydrofluoric acid /ethanol solution. The observed morphology demonstrates the ability of dilute HF to form distinctive layered nanostructures. A computer modelled multilayer interference effect is able to explain the observed high reflectivity. In addition, a comprehensive understanding of the etching mechanism was constructed based on the study of surface chemistry by X-ray photoelectron spectroscopy. Verification of the size effect was achieved by Raman spectroscopy and by X-ray diffraction. The measurement of fluorescent properties with photoluminescence and cathodoluminescence is also reported. The achievement of this thermally stable SiC reflector has potential applications in optoelectronics and sensors.
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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 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".