A review of the recent developments in flame-retardant nylon composites
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
An overview of recent developments of flame-retardant nylon 6 and nylon 66 is presented in this paper. The research of flame-retardant composites is mainly through adding flame-retardant elements to nylon molecules, which can be divided into physical addition and chemical addition. Each of these two methods has its advantages and disadvantages. In this paper, according to the different addition methods and flame-retardant mechanism of various flame-retardants, the flame-retardant properties of phosphorus flame-retardants, nitrogen flame-retardants, bio based flame-retardants and synergistic systems, as well as their effects on the mechanical properties of flame-retardant composites have been critically reviewed and summarized. This review will objectively explore and give new direction for the development of the flame-retardant nylon materials, which would be more accessible to the emerging field of materials science.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.004 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.010 | 0.011 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.007 | 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 it