TiO<sub>2</sub>-MoO<sub>x</sub>-Supported Iridium As Electrocatalysts for the Oxygen Evolution Reaction in PEM Based Electrolysis
Bibliographic record
Abstract
Polymer Exchange Membrane water electrolysis (PEMWE) is promising energy converting device, which is one of the main component for hydrogen society. However, there are still some issues about prices and durability. Especially, in the anode electrode which the oxygen evolution reaction (OER) occurs, a large amounts of precious metal catalyst is required to show quite good efficiency. Besides, durability issues occurs in anode side due to their high voltage and acidic conditions. To solve the issues, supporters have been proposed. According to the recent studies, the catalyst stability in the OER could be improved by using metal-support interaction. Here, we report TiO2-MoOx supporter for the OER in PEMWE. In half-cell test, TiO2-MoOx-supported Iridium catalyst shows high activity and stability compared with commercial iridium on carbon and Iridium black. Moreover, TiO2-MoOx-supported Iridium catalyst shows better stability than TiO2 supported Iridium. It seems that the main reason to improve stability is originated from interaction between Iridium and TiO2-MoOx. These results demonstrated that TiO2-MoOx supporter can be utilized for a new active and durable the OER supported catalyst in PEMWE.
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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".