A ReaxFF molecular dynamics study on the mechanism and the typical pyrolysis gases in the pyrolysis process of Longkou oil shale kerogen
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
The combination of Reactive molecular dynamics (RMD) simulations and a reactive force field (ReaxFF) was employed to investigate the chemical mechanisms and product distribution in the process of oil shale kerogen pyrolysis. A large-scale reactive system based on five structural models used in the simulation was constructed according to the analysis results of a series of detection about kerogen extracted from Longkou oil shale to investigate the reaction processes of oil shale. The characteristics observed in the simulation agree well with the known characteristics of the oil shale structure and reactions. The simulation results proved the importance of temperature exert on the product distributions, intermolecular interactions and elementary reactions in the process of pyrolysis. A conclusion was made about the suitable temperature range for producing useful organic gases and the highest yield of shale oil. The detailed chemical reaction process of Longkou oil shale pyrolysis was described in this work as well. This work is an intensive study on the pyrolysis mechanism and the formative path of the typical products especially shale gases at different temperatures at the atomic level and will be of great significance for the development and utilisation of oil shale mineral resources.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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