Dynamic activation catalysts for CO2 hydrogenation
Bibliographic record
Abstract
Abstract In typical heterogeneous catalytic reactions, catalysts, whether fixed or flowing, maintained their bulk and surface structures as stable as possible. We report here dynamic activation catalysts having continuously generate highly active sites in working, which enables a usually low active Cu/Al 2 O 3 catalyst for CO 2 hydrogenation, showing extraordinary catalytic performances. Using reaction streams in unusually high linear speed to blow and carry the Cu/Al 2 O 3 particulates to collide cyclically with a rigid target, the CO 2 conversion rate is more than three times enhanced at methanol selectivity promoted to 95% from less than 40% and the methanol space-time-yield is six times increased. By experimental and theoretical investigation, the dynamic activation of Cu/Al 2 O 3 is defined as a discrete condensed state with a distorted and elongated lattice, reduced coordination, and abnormal catalytic properties. We envision that continuous research on the dynamical activation catalysts will advance novel methods for promoting catalytic performance and discovering new catalytic reactions.
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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 | 0.001 |
| 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 | 0.001 | 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".