Gas−Liquid Flow Solid-Catalyzed Reactions in Magnetic-Field Emulated Microgravity
Bibliographic record
Abstract
The catalytic hydrogenation of α-methylstyrene and phenylacetylene were used to study the conversion and selectivity behaviors of wetting-sensitive solid-catalyzed gas−liquid flowing systems in artificial gravity generated in strong inhomogeneous static magnetic fields. Such microgravity environment maintained in a 9 T magnet for hours down to 10 −4 g for co-currently flowing diamagnetic gas/diamagnetic liquid systems was realized by matching the gas and liquid mass magnetic susceptibilities. Conversion of α-methylstyrene and selectivity of styrene were measured with and without magnetic fields at constant wetting efficiency and contact time. It was shown that magnetic fields affect conversion and selectivity of catalytic reactions exclusively via hydrodynamic phenomena. Hence, this method could prove useful to generate artificial microgravity in Earth-bound facilities to emulate passive/reactive catalytic multiphase flows in lunar/Martian gravity or in other microgravity 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 | 0.000 |
| 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 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".