Modeling solid-state detonation based on thermochemical equilibrium calculations
Bibliographic record
Abstract
The present work describes the application of a recently developed Calculation of Phase Diagrams (CALPHAD) method to perform condensed-phase thermochemical equilibrium calculations of Chapman–Jouguet (CJ) detonation properties for a number of new mixtures speculated to support gasless detonation. Mixtures in question are titanium–silicon (Ti–Si), the common thermite mixture of aluminum–iron oxide (Al–Fe2O3), and zinc–sulfur (Zn–S). The high-pressure products of these reactive mixtures were found to be stable, and thus suitable for gasless CJ detonation calculations. The CJ calculation method was found to be successful for these mixtures, and the results showed CJ detonation properties with high temperatures, but only marginal volume increase. While this is expected for condensed-phase products, the calculations nevertheless show that gasless detonation may be possible under a very narrow range of conditions.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".