Safe Fabrication and Characterization of NC/CL‐20/CnMs Nanoenergetic Composite Materials via Modified Sol‐Gel
Bibliographic record
Abstract
Abstract In this work, nitrocellulose/hexanitrohexaazaisowurtzitane/carbon nanomaterials (NC/CL‐20/CnMs) nanoenergetic composite materials are synthesized by combining sol‐gel and vacuum freeze‐drying technology, wherein NC is chosen as the gel matrix to load CL‐20 particles and CnMs. The results indicate that the CL‐20 and CnMs are imbedded and homogeneously dispersed in the monolithic gel of NC matrix, and the polymorph of CL‐20 maintains the optimal ϵ form during the fabrication process. The thermal results reveal that the onset temperature and exothermic temperature are visibly advanced compared with physical mixing and CL‐20. In addition, the activation energy ( E a ) of composites has also been calculated and exhibits lower E a (110 kJ mol −1 <) than that of raw materials (NC: 299.13 kJ mol −1 , CL‐20: 157.93 kJ mol −1 ). Finally, the impact and frication sensitivities have been tested and present inspirational results that sensitivity is decreased greatly owning to buffer function of the monolithic gel of NC matrix. This fabrication strategy and conclusions will provide promising application for NC/CL‐20/CnMs used in propellants.
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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) | 0.000 | 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) | 0.001 | 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".