Erosivity and Performance of Nitrogen‐Rich Propellants
Why this work is in the frame
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Bibliographic record
Abstract
Abstract Five propellant formulations were test fired both in a vented vessel and a closed vessel. Two formulations contained 35 % weight of nitrogen‐rich materials. The erosion by weight of the propellants ranged from 0.53 g to 1.31 g after two consecutive test firings of a given propellant. The addition of nitrogen‐rich materials resulted in reduced erosion. Scanning electron microscope and energy dispersive X‐ray spectroscopy revealed nitrogen in the erosion pieces for one of the reference propellants (SB) and the two nitrogen‐rich propellants. The two hottest propellants cause melting of the erosion pieces. The presence of nitrogen‐rich materials has a tremendous impact on the burning rates with the burning rate increase at 100 MPa reaching up to 2.4 times that of the formulation used as the base for the nitrogen‐rich propellants.
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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 | 0.000 |
| Open science | 0.000 | 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 it