Process Intensification in Artificial Gravity
Bibliographic record
Abstract
Powerful superconducting magnets constitute adequate proxies for generating artificial gravity environments in earthbound experimentations. The application of microgravity or macrogravity conditions could be interesting for the pharmaceutical and medical domains for discovering and identifying new drugs and their actions. In the chemical engineering area, strong inhomogeneous magnetic fields could potentially open attractive applications. For example, in multiphase catalytic systems, several factors must be optimized for improving process efficiency. Preliminary experimentations and model calculations reveal that inhomogeneous and strong magnetic fields, applied to such systems as mini trickle-bed reactors, are capable of affecting reactor hydrodynamics, which can be taken advantage of for improving process performance. Pressure drops, liquid holdups, and wetting efficiency experimental data have been obtained for two-phase downward gas−liquid trickle beds in the presence of inhomogeneous magnetic fields. Magnetic field effects on trickle bed hydrodynamic properties have been explained using the gravitational amplification factor that commutes the Kelvin body force density into an artificial gravitational body force.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".