Nanostructured OMO type Manganese Oxide – as Novel Support for Palladium towards Electrooxidation of Methanol and Ethylene Glycol
Bibliographic record
Abstract
Octahedral molecular sieve type manganese oxide (OMO) was synthesized by the ultra sonic assisted hydrothermal method, and was subsequently used as supportive material for palladium (Pd) metal towards the electrooxidation of methanol and ethylene glycol. The Pd nanoparticles were coated on the OMO by insitu reduction method. Low quantity of 5% Pd metal was used and the electrocatalytic activity was studied. The prepared OMO and the OMO/Pd nanocomposite were characterized by powder X–ray diffractogram (XRD), Scanning Electron Microscopy (SEM), Energy dispersive X–ray spectroscopy (EDS) and electrochemical methods. These studies demonstrated that the OMO can act as a good catalyst supporting material. The OMO helps to enhance the catalytic activity of Pd metal by supplying the active oxygen, which is extracted from the electrolytic solution. The electrooxidation of EG shows improved catalytic activity.
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 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".