Slurry-Phase Batch Microreactor for Hydroconversion Studies
Bibliographic record
Abstract
A novel microreactor that allows for mixed, slurry-phase batch experiments to be conducted at temperatures to 445 °C and pressures of 13.8 MPa is reported. The reactor uses a glass insert to isolate the reaction mixture from the catalytically active reactor walls and a vortex mixer to promote gas–liquid–solid mixing and requires only 150 μL of reaction mixture to operate. The rapid heating and cooling (to 445 °C and back to room temperature in under 30 min) afforded by the small size makes this reactor ideal for fast catalyst-screening studies. The utility of the reactor is demonstrated through a study of the hydroconversion of diphenylmethane (DPM) at 445 °C and 13.8 MPa and the hydrodeoxygenation of 4-methylphenol (4-MP) at 375 °C and 4.8 MPa, both conducted using an unsupported MoS 2 catalyst. A high-speed video is used to identify 2000 rpm as the optimum mixing speed for the microreactor. Conversion data for DPM and 4-MP in the microreactor is used to determine rate constants for the reactions and, hence, quantify MoS 2 catalytic activity and thermal/reactor wall activity. The MoS 2 activity is found to be in good agreement with published stirred batch reactor results using the same catalyst.
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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 | 0.000 |
| 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 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".