Pd@PdBO <i> <sub>x</sub> </i> heterostructure with strong electronic interaction to promote C─H bond activation for glycerol oxidation reaction
Bibliographic record
Abstract
Glycerol oxidation reaction (GOR) represents an economical pathway for transforming renewable feedstock to value-added chemicals. However, the inertness of C(sp 3 )─H bonds of glycerol and intermediates results in the high energy barrier of the dehydrogenation step, relating to poor product selectivity at high glycerol conversion. Here, a carbon nanotube–supported PdBO x @Pd heterostructure catalyst (PdBO x @Pd/CNTs) was synthesized in which in situ–exsoluted PdBO x clusters covalently covered Pd nanoparticles, thus yielding strong electronic interaction between Pd nanoparticles and PdBO x clusters. The strong electronic interaction in PdBO x @Pd/CNTs induces the hybridization between Pd(d), B(s, p), and O(s, p) atom orbits, optimizing the adsorption of reactants and intermediates, thus enhancing the activity for the GOR. The density functional theory calculation result reveals that the strong electronic interaction in PdBO x @Pd/CNTs facilitates the hydrogen transfer in the primary C─H bond of the CH 2 OHCHOHCH 2 O* intermediate, thus reducing the energy barrier of the rate-determining step and improving glyceric acid selectivity toward the GOR.
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 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.003 |
| 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".