Two‐Phase Flow in Porous Media Under Spatially Uniform Magnetic‐Field Gradients
Bibliographic record
Abstract
Abstract External inhomogeneous magnetic fields exert a body force on electrically nonconducting, magnetically permeable fluids, and this force can be used to compensate or to amplify the gravitational body force. The ability to influence two‐phase flow by the application of external inhomogeneous magnetic field is of potential interest in the operation of trickle‐bed reactors from the point of view of catalytic process intensification. An exhaustive modeling framework was developed to illustrate how external inhomogeneous magnetic fields are able to influence both trickle bed hydrodynamics and reaction performance. The model was based on the volume‐average mass and momentum balance equations and volume‐average species balance equations under a spatially uniform magnetic‐field gradient, µ 2 0 H ( dh/dz ). The catalytic wet air oxidation of phenol in the presence of a catalyst consisting of a mixture of CuO, ZnO and CoO was considered as a case study.
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.
How this classification was reachedexpand
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 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".