New Ir-V-W Electro-Catalyst Exceeding Pt for the Anode of Fuel Cells
Bibliographic record
Abstract
Very active catalysts 40%Ir-10%V-3%W/C and 40%Ir-10%V-10%W/C, as a novel suitable anode catalyst in PEMFCs, have been synthesized by an ethylene glycol reduction method. The nanostructured catalysts have been characterized by X-ray diffraction (XRD) and high-resolution transmission electron microscopy (TEM). Ir nanoparticles, after modification with V and further with W, show a narrow particle size distribution centered at 2 nm, and are uniformly dispersed on Vulcan XC-72. Investigation of the catalytic activity by means of linear sweep voltammetry (LSV) employing a rotating disk electrode (RDE) has revealed that 40%Ir-10%V-3%W/C catalyst exhibited very high electrocatalytic activity in terms of hydrogen oxidation reaction (HOR). About 76% higher current density was obtained for 40%Ir-10%V-3%W/C compared to that of 40%Pt/C except for 320% higher current density compared to that of the pure 40%Ir/C at 0.1 V versus RHE. The performance of a membrane electrode assembly (MEA) prepared with the 40%Ir-10%V-3%W/C as the anode catalyst generated a maximum power density of 625.9mW cm-2 at 0.59 V and 70 oC, which is 32% higher than that of commercial available 40%Pt/C.
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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) | 0.001 | 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 | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".