Oxidized Graphite Nanoplatelets as an Improved Filler for Thermally Conducting Epoxy-Matrix Composites
Bibliographic record
Abstract
We report a 40% improvement of the thermal conductivity of graphite nanoplatelets–epoxy composites by chemical functionalization of graphite nanoplatelets utilizing nitric acid treatment, which also serves to enhance the spreadability of the material. FTIR and Raman spectroscopy confirmed the presence of a variety of oxygen functional groups at the edges and basal plane of the functionalized graphite nanoplatelets, which contributed to improved interaction with the polymer matrix. A comparative statistical analysis of the particle size distributions in pristine and functionalized graphite nanoplatelets based on scanning electron microscopy showed an increasing degree of exfoliation of the functionalized material. We compare the performance of the functionalized graphite nanoplatelets and carbon nanotubes as fillers in the polymer matrix and discuss the prospects for utilization of graphite nanoplatelets-based thermal interface materials in electronic packaging.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 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) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".