A Semiconductor Composite with High Solid‐State Lubrication and Low Thermal Conducting Properties
Bibliographic record
Abstract
Abstract Ceramic composites exhibiting the combination of light‐weight, semiconducting behavior, low thermal conductivity, and solid‐state lubrication are crucial for advanced applications in electronics, thermal insulation, and wear‐resistant components, enabling efficient performance under demanding conditions. However, obtaining these functionalities simultaneously in a single material is nontrivial because these properties often require opposing structural and compositional features. Here, the synthesis of spark plasma sintered SiOC‐BN ceramic composite by combining amorphous silicon oxycarbide (SiOC) with crystalline hexagonal boron nitride (h‐BN) is reported. Comprehensive structural and microscopic characterizations confirm the existence of uniformly distributed h‐BN and cubic β ‐SiC phases throughout the bulk material. The composite exhibits a p ‐type semiconducting behavior with nearly isotropic electrical resistivity and low cross‐plane thermal conductivity at room temperature. Mechanical and tribological testing further reveal the excellent strength and solid‐state lubrication under high mechanical loads, with a low coefficient of friction. Comparative structure‐property correlations with individual SiOC and h‐BN ceramics highlights the synergistic effects of the combined phases, contributing to the composite's properties. These findings show the potential of SiOC‐BN ceramic composite as a promising material for future technologies.
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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 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".